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Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As a Senior Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Senior Analyst roles share a common foundation: owning complex analytical problems end to end, translating data into business strategy, and influencing decisions across technical and non-technical teams. You will operate with autonomy to own the entire analytical lifecycle, from initial question to final business decision. You bring exceptional analytical rigor, deep domain expertise, and the ability to translate complex regulatory, economic, and machine learning insights into actionable business strategies. You thrive in ambiguity, balance growth with resilience, and are comfortable operating at both strategic and execution levels to influence stakeholders across the organization. What You Will Do Optimize End-to-End Strategy: Leverage advanced data analytics to independently derive insights, develop, and optimize business, risk, or growth strategies across products and geographies. Manage Macro & Market Trends: Monitor portfolio performance and exogenous macroeconomic trends, proactively adjusting analytical and operational strategies to mitigate risk and balance growth. Model & Capability Building: Partner deeply with Engineering and Machine Learning teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models. Cross-Functional Leadership: Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements, translating them directly into analytical policy and product design recommendations. Oversee Frameworks & Launches: Oversee the development and execution of analytical frameworks. Drive cross-functional discussions to ensure new product launches and market entries align with risk appetite, operational capabilities, and local regulations. External & Strategic Alignment: Engage with external stakeholders, including merchants, vendors, and partners, to align practices, ensure compliance, and strengthen strategic relationships. AI Leverage & Mentorship: Build repeatable AI-assisted workflows that compound across the team's analyses, while mentoring junior analysts on technical craft and domain nuances. What We Look For 2–5 years of proven experience in an analytically driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies. Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field. Advanced proficiency in SQL, Python, or other scripting languages. Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems. Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives. Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth. Demonstrated ability to translate complex regulatory and economic insights into actionable strategies. Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions. Pay Grade - K Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay range (CA, WA, NY, NJ, CT) per year: $145,000 - $205,000 USA base pay range (all other U.S. states) per year: $128,000 - $188,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Tunis, Tunisia; Cairo, Egypt Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. Responsibilities Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics. Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics. Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes. Serve as a data ambassador, promoting a data-driven marketing culture within the organization. Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders. Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts. Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies. Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions. Requirements Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Language skills : French and English (fluent) , Arabic is an advantage At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Khafji, Saudi Arabia Eram Talent is seeking a skilled and experienced Functional Analyst – SAP IS-Oil (PM) to support the design, implementation, and ongoing optimization of SAP solutions within the Oil & Gas domain. The ideal candidate will act as a key liaison between business stakeholders and technical teams, ensuring that business requirements are effectively translated into SAP functionalities and solutions. Requirements Conduct requirement gathering sessions with business users to understand operational needs and translate them into functional specifications. Analyze business processes and map them to SAP IS-Oil and SAP PM functionalities . Lead and support the implementation of SAP IS-Oil solutions , ensuring proper integration with other SAP and non-SAP systems. Provide post go-live support , including troubleshooting, issue resolution, and system enhancements. Handle day-to-day user queries and system-related issues , ensuring minimal disruption to business operations. Prepare detailed functional specifications (FS documents) and collaborate with technical teams to develop and deliver customized solutions. Conduct end-user training sessions for different business roles to ensure effective system utilization. Mentor and train junior consultants , enhancing team capability in SAP IS-Oil. Work closely with cross-functional teams to ensure seamless integration across modules such as MM, SD, and FI/CO . Required Skills & Qualifications Strong hands-on experience in SAP IS-Oil and SAP PM (Plant Maintenance) . Proven experience in full lifecycle SAP implementations (at least 1–2 end-to-end projects preferred). Experience in Oil & Gas industry projects is highly desirable. Expertise in business requirement analysis and functional documentation . Good understanding of integration with other SAP modules (MM, SD, FI/CO). Experience in post go-live support and enhancement projects . Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr Director, Integrated Analytics Partner ( Platform & Product Analytics ) San Mateo , CA Remote also considered. Who We Are At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we're just as committed to building a world-class team. As a leader in interactive entertainment, PlayStation operates at a massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem. About the Role We are seeking a Senior Director, Integrated Analytics Partner – Platform & Product Analytics to serve as the strategic analytics leader embedded within both our Platform Strategy & Product Management organizations. This role is responsible for defining and executing the analytics strategy that helps inform our long-term platform strategy, provides Product Management analytics in support of the ongoing evolution of our player experience, as well as competitive intelligence across the enterprise. As the primary analytics partner to Platform Strategy & Product Management leadership, this role will translate business priorities into a coordinated analytics portfolio across Reporting, Applied Analytics, and Data Science. The Senior Director will directly lead the Applied Analytics team while providing strategic direction to the Data Science and Reporting squads aligned to Platform & Product initiatives. The ideal candidate for this role combines a demonstrated ability to drive change at scale through the application of analytics, an exceptionally strong strategic orientation, and depth of understanding of the Product Management function and how the application of analytics, including rigorous testing, can improve the consumer experience. Boundless curiosity, creativity and enthusiasm for envisioning and then shaping the future, in a complex category that is ever evolving, is a welcome trait. PlayStation may be a market leader, but the analytics team is filled with people who are obsessed with improving in every area we can, care deeply about their role in catalyzing the success of our stakeholders , our partners & creators, and, most importantly, improving the experiences of our players , cultivating the joy of gaming. This role will provide a unique perspective on the future of gaming—and, for the right person, the ability to help shape it. Key Responsibilities Strategic Analytics Leadership Define and drive the Platform & Product Analytics strategy , ensuring alignment with company objectives and long-term platform growth . Maintain a holistic portfolio view across R eporting, A pplied A nalytics, and D ata S cience initiatives supporting Platform & Product . Identify opportunities to leverage analytics to improve product strategy, roadmap decisions, and investment priorities . Executive Partnership and Communication Serve as the primary analytics partner to Platform & Product leadership , acting as the central point of contact for analytics strategy and insights. Deliver executive-level analytics updates and strategic insights to senior stakeholders on a regular cadence . Translate complex analytical insights into clear, actionable narratives that influence Platform & Product strategy and investment decisions. Cross-Functional Collaboration Enthusiasm for building relationships and deep partnerships, including a instinct for seeking opportunities to “win together,” is absolutely critical for this role Partner with the Data Science and Reporting Leads to provide prioritization guidance on their roadmaps . Identify cross-functional opportunities to accelerate impact and eliminate redundant analytics work across teams. Ensure business context and strategic priorities are clearly communicated to squads. Leadership and Team Development Lead and develop the Applied Analytics team , building strong analytical capabilities and career growth for team members. Provide dotted-line leadership to Data Science and Reporting squads supporting Platform & Product , ensuring alignment with Platform & Product priorities. Foster a culture of experimentation, analytical rigor, and measurable impact across the analytics organization. Resource and Portfolio Management Advocate for analytics investments, including headcount, tooling, and platform capabilities. Provide recommendations on how best to a llocate analytics resources across initiatives based on strategic importance and business impact. Make and communicate prioritization decisions across analytics teams supporting Platform & Product initiatives. Qualifications and Education Requirements Bachelor’s degree in Business , Computer Science , Economics, Statistics, Data Science, or a related quantitative field (Master’s or MBA preferred). 1 8 + years of experience in a blend of analytics disciplines, including product management analytics, testing, data science, analytics leadership, and business intelligence , including leadership roles. Proven experience leading analytics teams and delivering data-driven insights that influence product strategy and platform development . Management consulting experience as part of an analytics practice is a significant plus when combined with subsequent client-side experience Experience defining and tracking product performance metrics and analytics frameworks that guide product decision making. Demonstrated ability to influence senior leadership and communicate complex analytical concepts to non-technical stakeholders. Preferred Skills Deep experience with product analytics frameworks, including user behavior analysis, product adoption metrics, and feature performance measurement . Experience with experimentation frameworks such as A/B testing and product experimentation . Strong proficiency with analytics and data tools such as SQL, Python, R, or similar statistical environments . Familiarity with competitive intelligence analysis, benchmarking frameworks, and market performance metrics. Ability to lead complex cross-functional initiatives involving product, data science, and engineering teams. Exceptional communication and storytelling skills to convey insights and influence strategic decisions is critical . #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $292,300 — $438,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States; Romania; Georgia; Bulgaria; Canada; Egypt; Azerbaijan; India; Germany; Kazakhstan; Ukraine; Spain; Netherlands; Hungary; United Kingdom; Portugal; Moldova; Poland Workplace: Remote About the company Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers. What You'll Be Doing: Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions What Makes You a Strong Fit: 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis Expert-level SQL and strong hands-on experience with BigQuery Strong experience with Looker, Power BI, Tableau, or similar BI tools Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders Bonus if you have: Experience with Python or another scripting language for data analysis and reporting automation Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses Experience working directly with founders or senior leadership in a fast-moving business environment Why You'll Love It Here: You'll work at the core of a product-led, AI-powered startup where data drives every decision Your work will ship fast and impact thousands of users High autonomy, low bureaucracy: we trust you to own your domain Remote-first culture with flexible hours and async-friendly communication Salary (fixed base) ABOVE the market average A smart, passionate team that moves fast, supports each other, and builds cool stuff 15 paid vacation days plus 5 paid sick days annually Paid access to courses, books, and growth resources Real decision-making power and ownership of your results

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a highly motivated and analytical individual to join our Growth Analytics International team. This team plays a crucial role in conducting research, monitoring performance, and running experiments to develop exceptional products for both consumers and merchants while driving long-term growth for the business. As Affirm continues expanding into new international markets, this role will be instrumental in establishing the operational analytics framework for new launches, beginning with Australia and expanding into future international markets. The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges. Our team takes an end-to-end business analytics perspective, partnering across the organization to develop recommendations and solutions that enable the business to successfully execute its growth and profitability strategies. This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes. What you’ll do Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities as we expand globally. Operate with a business owner mindset by proactively identifying opportunities through analysis and product sense to enhance user experience, growth, and profitability. Own business problems from end to end by translating analytical insights into recommendations and optimization strategies that support business growth, profitability, and operational excellence. Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports that can be easily shared across the organization. Develop scalable analytics solutions and data models. Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability. Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making. Spearhead weekly cross-functional metric reviews, collaborating with partners to conduct deep dives into significant metric shifts and suggest actionable steps. Partner effectively across Product, Risk, Finance, Commercial, and Operations to align strategies and execute against business objectives. Foster strong cross-functional relationships and establish yourself as a trusted advisor to team members. Mentor and guide junior analysts to deliver high-impact work that drives business results. What we look for: Passion to redefine the lending and financial industry for the better. Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable. Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies. Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics. 5+ years of proven success in a cross-functional analytical role. Practical and theoretical knowledge of A/B testing. Experience with SQL and performing statistical analysis using Python. Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap. Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows. Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences. Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations. Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment. Willingness to go out of your way to help teammates, with humility and a team-first mindset. Previous experience mentoring and guiding junior analysts. Compensation & Benefits Pay Grade - M Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £113,000 - £161,000 Location - Remote UK #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Security Assistance Analyst to support anticipated programming with the Department of State. This opportunity will provide program analysis, assessment, and trend monitoring in support of Department of State-administered military grant assistance programs. The security assistance analyst will collect and organize program data, design and implement analytical methodologies to capture program trends, develop analytical products to inform programming and budgeting decision-making, and coordinate with stakeholders within the security assistance/security cooperation enterprise. This position is contingent upon contract award. Responsibilities Serve as the primary point of contact with the client, coordinating priorities, communicating progress, managing stakeholder expectations, and ensuring alignment with mission objectives. Analyze Department of State-administered military grant assistance programs to assess trends, risks, opportunities, and implications for U.S. foreign policy and security cooperation objectives. Provide strategic context, regional insights, and operational recommendations to support leadership decision-making, program planning, and resource prioritization. Interpret analytical findings and program data to identify key trends, drivers, and implications, translating complex information into concise, actionable recommendations. Develop analytical products that synthesize security, political, operational, and programmatic insights and implications of program activities. Qualifications Bachelor’s degree and at least five (5) years of relevant experience, or Master’s degree and at least three (3) years of experience in defense or security program analysis, monitoring, and assessment. Ability to obtain a secret security clearance. Experience researching, analyzing, and synthesizing complex political, security, military, and programmatic information into concise reports, briefings, and decision-support products for program managers and senior leaders. Excellent written and verbal communication skills, including experience briefing stakeholders and translating complex issues into actionable recommendations. Proficiency with Microsoft 365 applications, including Excel, Word, PowerPoint, and SharePoint. Preferred Qualifications Active secret security clearance Experience overseeing analytical, monitoring, evaluation, research, data analytics, or decision-support activities, including prioritizing competing requirements and delivering high-quality products under compressed timelines. Demonstrated experience supporting foreign assistance, security assistance, security cooperation, defense, or international security programs. Strong u nderstanding of data architecture, data modeling, data governance, and data quality management principles. Strong understanding of knowledge management principles, repository governance, records management, and information lifecycle management. Demonstrated experience working across multiple offices, stakeholder groups, or functional teams to identify requirements and implement knowledge-sharing solutions. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $80,000 — $120,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Los Angeles, USA The Insights discipline helps empower Rioters' decision-making to be more data-informed. We're an interdisciplinary group of scientists, consultants, and strategists from all sorts of backgrounds who join together to represent and advocate for gamers around the world. We believe that illuminating the globally diverse experiences, behaviors, and needs of gamers is essential to Riot living up to our player-focused mission. We're a group united by our love of games, science, and helping others succeed. As a Sr. Principal Insights Analyst on Central Product Insights (CPI), you will leverage deep expertise in game analytics to help our games deeply understand their products & players and to level up this craft across the portfolio of games at Riot. You'll partner with leaders on game teams across the portfolio and lifecycle as well as executives overseeing Riot’s entire games portfolio. You’ll conduct a wide range of complex analyses to help us understand the health of our products, players, and game experiences either individually or in partnership with analysts on game teams. You’ll build and manage scaled analytics tools, dashboards, and datasets that empower stakeholders across Riot’s entire portfolio. You’ll also help to define and elevate craft standards across the portfolio and guide discipline investments to help unlock the full capacity of analysts working on games. Responsibilities: Tackle the most complex & impactful game analytics problems across the Riot Games portfolio including foundational cross-game analytics, product health deep dives, and investigations into multi-game player behaviors and patterns Lead the development of new, scaled analytics-based insights tools, dashboards, and datasets focusing on common game behaviors and play patterns, in collaboration with stakeholder needs across the portfolio and central executive leadership Mentor and develop game analysts, both on CPI and across the portfolio Work with central and game teams to drive consistency and/or efficiency in key reports, recurring or one-off analyses, and shared design/strategy analytic lenses Partner closely with Data Engineering to productionalize central analytics tables and pulls, and to guide the ongoing development of central data infrastructure meant to serve the needs of game analysts Uphold game analytics craft standards across the portfolio, ensuring rigor and consistency / comparability Drive improvements on tools & processes to maximize analysts’ efficiency and effectiveness across the portfolio Support game leadership on staffing and workforce management for game analytics across the portfolio Partner with insights leadership to ensure the craft of game analytics is well-supported across Riot overall Required Qualifications: Bachelor's degree in Economics, Statistics, Physics, Mathematics or a related discipline 10+ years of relevant analytics experience (an advanced degree can account for up to 2 years of experience) 3+ years experience working directly in analytics on games Strong analytical skills across the entire stack (Tableau, SQL, Python/Pyspark) Meaningful familiarity with game design/direction and product strategy Experience conducting analytics to answer product or portfolio strategy questions Experience synthesizing & socializing analytics results and distilling results into impactful recommendations for product/executive leadership Excellent communication and interpersonal skills along with the strong ability to collaborate effectively at all levels and departments of the organization. Able to work independently and lead complex projects which require coordinating multi-party worksteams Ability to own and drive workstreams collaboratively with cross functional partners across game design, engineering, data engineering, and product Strong communication and presentation skills with senior stakeholders Desired Qualifications: Experience working with competitive PvP titles Experience setting up automation for data pulls or pipelines Experience developing and deploying advanced statistical or machine learning models Advanced degree in Economics, Finance, Computer Science, Applied Mathematics, Statistics, Management Information Systems, a related discipline, or comparable work experiences For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Задачи: — Проектирование высоконагруженных интеграций между внутренними сервисами, включая сложные блокчейн-интеграции; — Проектирование и детальное описание API для backend и frontend команд; — Прозрачная формализация бизнес-логики, гибких схем валидации и комплексных ролевых моделей; — Плотное кросс-функциональное взаимодействие с разработчиками, тестировщиками и бизнес-заказчиками для синхронизации решений. Требования: — От 5 лет коммерческого опыта в роли системного аналитика; — Успешный бэкграунд в Enterprise-проектах (топ-банки, финтех, брокеры, биржи); — Богатый опыт проектирования интеграционных слоев (REST, Kafka, RPC, FIX); — Уверенное и свободное владение SQL для работы с данными; — Отличные навыки работы с инструментами Jira, Swagger и построения диаграмм в PlantUML; — Практический навык подготовки технической документации в рамках концепции Doc as Code; — Базовое понимание специфики блокчейн-технологий и крипто-интеграций; — Высшее профильное техническое образование. Условия: — 100% удаленный формат работы из любой точки РФ со стабильным графиком; — Надежное долгосрочное сотрудничество по договору ИП или Самозанятого; — Прозрачный доход 210k gross без задержек; — Возможность поработать с новейшими технологиями распределенных реестров на базе инфраструктуры крупнейшего банка.

Обязанности: - Анализ бизнес-требований клиентов и разработка функциональных требований к ИТ-решениям. - Подготовка проектной документации, включая бизнес-требования, user stories, BPMN-диаграммы, UML-модели и функциональные спецификации. - Участие в проектах по цифровой трансформации, ИТ-стратегии, корпоративной архитектуре и оптимизации ИТ-процессов. - Взаимодействие с заказчиками, разработчиками и другими заинтересованными сторонами для согласования требований и проектных решений. - Проведение исследований рынка и технологических решений, подготовка аналитических материалов и презентаций для клиентов. Требования: - Опыт работы от 3 лет в роли System Analyst, Business Analyst или на аналогичной позиции. - Практический опыт сбора, анализа, формализации и управления требованиями. - Знание жизненного цикла разработки ПО (SDLC), Agile и Waterfall методологий. - Опыт работы с API, системными интеграциями и моделированием бизнес-процессов. - Уверенное владение SQL и понимание принципов работы баз данных. - Опыт использования JIRA, Confluence или Azure DevOps. - Уверенное владение английским на уровне Upper-Intermediate и выше (устно и письменно). - Наличие сертификатов TOGAF, ITIL или Lean Six Sigma будет преимуществом. Условия: - Ежегодные бонусы по результатам работы. - Медицинское страхование и страхование жизни. - 30 календарных дней отпуска и 5 дополнительных дней оплачиваемого больничного без подтверждения. - Корпоративные скидки и специальные предложения. - Программа признания достижений. - Внутренние и внешние программы обучения, сертификации и профессионального развития.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Yerevan, Armenia Description We are looking for a data-driven Business Data Analyst to join our Partner Performance Analytics Team. This role is focused on analyzing partner business performance, evaluating bonus campaign effectiveness, identifying growth opportunities and business risks, and providing actionable recommendations that drive partner success and company profitability. The ideal candidate combines strong analytical capabilities with business thinking and has experience working with performance metrics, commercial analysis, and data-driven decision-making. Experience within iGaming, online betting, casino, or retention analytics environments is highly preferred. Responsibilities Analyze partner performance across key business metrics and identify growth opportunities and performance gaps Monitor and evaluate the effectiveness of bonus campaigns, promotional activities, and retention initiatives Assess the impact of bonuses and promotional costs on revenue, profitability, retention, and player behavior Identify trends, anomalies, risks, and underperforming business areas through data analysis Prepare actionable recommendations to improve partner performance and business outcomes Translate complex data into clear business insights and recommendations Requirements 2+ years of experience in Business Analytics, Business Intelligence, Commercial Analytics, Performance Analytics, or a similar role Strong analytical and problem-solving skills Advanced SQL knowledge Experience with Power BI or similar tools Experience working with large datasets and performance reporting Ability to identify business drivers behind data trends Upper-Intermediate or higher English level Experience in iGaming, Sportsbook, Casino, Affiliate, CRM, Retention, or Loyalty Analytics Understanding of key iGaming metrics such as GGR, NGR, Retention, Bonus Cost, Conversion, Churn, ARPU, and LTV Experience analyzing promotional and bonus campaign performance Familiarity with A/B testing and performance optimization methodologies Knowledge of Python is a plus Ability to transform data into actionable recommendations Strong attention to detail Ability to work independently in a fast-paced environment Focus on business impact rather than reporting only

Location: ikoyi, Nigeria Join Our Team! At Renmoney, we're on a mission to transform the financial landscape for the under-banked in Nigeria. Passionate about customer experience and commitment to excellence, we’re looking for a dynamic Credit Admin Analyst to support our credit operations. Are you detail-oriented, organized, and ready to make a real impact? This could be the role for you! What You’ll Do: First payment default - must ensure proper scrutiny of documents and a minimal likelihood of First payment default Fraud detection - Ensure all applications approved should be fraud free Minimizing approval error - Loans should be approved with less than 0.01% error. All loans approved should approve accurately and error free Numbers of transactions processed - Amount of transactions processed should not fall short of requirement Transaction processing turnover - must ensure all approved loans should not exceed the stipulated required time (maximum of 15minutes per file) Accuracy in Loan disbursement - must ensure accurate disbursement account validation prior to actual disbursement of funds Other underwriting related activities - must ensure other activities asides underwriting in the department are carried out smoothly and processed timely with accuracy Requirements What You Bring: A minimum of 2 years experience in credit administration or a related field. Strong analytical skills with a knack for detail, errors simply can’t slip by! Comfort with using financial software and Microsoft Office Suite. Exceptional communication skills, both written and verbal, you know how to engage with people! An ability to prioritize, handle multiple tasks simultaneously, and stay organized in a fast-paced environment. Benefits You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges. We are the place for you, if You’re excited about technology and the future, and you’re looking for a place to learn and grow. You care a lot about detail and pride yourself in impeccable execution. You are adept at identifying, assessing, mitigating, monitoring and reporting risks, and ensuring controls are working effectively. You are ready to work extremely hard, at a fast pace, to achieve audacious goals. You love to speak up, ask questions and are comfortable challenging anyone or any idea.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're looking for a Staff Data Analyst to be the senior analytical partner to our Marketing organization. You'll define how Marketing understands its own performance, influence investment decisions at the leadership level, and shape the data foundations that underpin our AI and automation capabilities. Sitting within our centralized analytics function, you'll work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations that move the business forward. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: - 7+ years in marketing analytics and data strategy within complex B2B SaaS environments - Deep marketing domain expertise, including attribution, funnel analysis, forecasting, KPI development, and lifecycle measurement - Proven experience partnering directly with senior marketing leaders and executive stakeholders - Experience leading attribution modernization or marketing measurement transformation initiatives - Familiarity with AI-assisted analytics, statistical modeling, or predictive techniques in a business context - Advanced SQL and strong experience with large-scale analytical datasets - Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar) - Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt - Experience working with Marketing and GTM platforms: Salesforce, Marketo, GA4, and related martech What you can expect: - A greenfield opportunity to shape the data foundations, measurement frameworks, and analytical standards that Marketing and 1Password's broader AI capabilities will depend on - Deep partnership with Marketing leadership across planning cycles, investment decisions, and performance measurement - Ownership of complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis in a fast-moving SaaS environment - A seat at the forefront of how AI gets applied in Marketing analytics, building the trusted, governed data foundations that every AI initiative will depend on - Cross-functional partnership across Marketing, Finance, RevOps, Product, and Data teams with the opportunity to mentor analysts and raise the bar on analytical standards - An environment where there's a lot to build and your fingerprints will be on it. This is a role for someone who thrives with ownership and ambiguity, not a playbook to follow USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $131,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Chicago, IL Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Venture Capital Analyst Intern, you will collaborate with the investment team to research key themes and investment opportunities from early stage to growth. The ideal candidate will have meaningful exposure to private company investing and a passion for quantitatively and qualitatively evaluating investment opportunities in the venture capital landscape. This internship will provide meaningful exposure and responsibility to make an impact on a growing team. Prior interns have spent time supporting portfolio companies by assisting with financial models and pitch presentations while also researching new opportunities in the FinTech and capital markets ecosystem. In addition to a summer of meaningful work, you’ll have plenty of time to explore the city with organized social events to make the most of your 10 weeks with us. How you will make an impact… Underwrite and evaluate investments based on risk and return fundamentals Assist with deal structuring and the evaluation of term sheets, including modeling the economics of deal structures in Excel and the impact on returns Prepare discounted cash flow, competitive market and development model analyses for current and pipeline opportunities Join meetings with current and pipeline company management teams and co-investors Assist in the preparation of pitch decks for pipeline opportunities and follow-on investments in current portfolio companies What you bring to the team… Bachelor’s degree in finance, business administration, economics, accounting, or liberal arts graduating between December 2027 and June 2028 A minimum GPA of 3.5 on a 4.0 scale (or equivalent) Limitless curiosity about business models, competitive dynamics and innovation An interest in diving deep in more than one investment category, gaining exposure to companies across the financial technology landscape including, but not limited to cryptocurrency, capital markets infrastructure and financial enterprise software Passion for high quality work and the ability to relentlessly pursue continuous improvement An interest in pursuing personal and professional growth by learning new principles Excellent behavioral and communication skills Familiarity with Microsoft Office — specifically PowerPoint and Excel Work authorization in the United States without the need for sponsorship About your future team… DRW Venture Capital is a private investor in financial and enterprise technology. Our team focuses on businesses that will benefit from our engagement beyond capital: as a client, as a liquidity provider, through our review of new products, and through our deep industry expertise. Our portfolio comprises ~25 companies including NinjaTrader, OpenFin, BitGo, Pico, Talos and TradingView. What to expect during the internship… Meaningful Work: You’ll primarily focus on a single challenging and wide-ranging research project to complete during your time here, in addition to intensive day-to-day work alongside the investment team. In conjunction, these promote a comprehensive learning experience while providing you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie with your fellow intern class. Housing: DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. The annual base salary for this position is $80,000. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DNI

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading and technology in order to learn what it takes to become a successful and sustainable trader. You will work on a small team to combine the disciplines of technology, research and risk management to identify optimal trading and investment strategies within the regulatory framework through a series of project-based assignments. At the conclusion of 10 weeks, you will have the opportunity to present your results to senior leadership at DRW. While your days will have you engrossed with complex quantitative trading projects, your evenings will be spent exploring the city with organised social events to truly discover what it’s like to live and work in London. How you will make an impact… Collaborate with senior traders, technologists and quantitative researchers by developing and improving trading strategies by working directly on the trading desk Identify and research in the development of cutting-edge market research projects using powerful analytic tools Market research projects vary from macroeconomic data curation and analysis to application of machine learning techniques to market tick data for automated trading Be given immediate responsibility through assignments like position tracking, calculating risk, and analysing vital theoretical values What you bring to the team… Are pursuing a bachelor’s, master’s or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and August 2028 Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations Proficient programming in Python Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments A passion for the financial markets and a deep curiosity to explore new methodologies Strong communication skills to advocate your ideas in a clear and concise manner to the group What to expect during the internship Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .