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Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a deeply experienced Security Analyst - Tier 3 for its Security Operations Center (SOC). This role is a senior individual-contributor position, leading challenging investigations, setting the standards the SOC operates by. This role reports to the SOC Manager, under the Detection and Response function within the CISO Office. Your responsibilities will include: Lead complex, multi-stage, multi-domain investigations end to end, from scoping through deep technical analysis to a clear determination of impact and root cause. Serve as the SOC's senior escalation point and the quality gate for investigations across the team. Support the Incident Response team during confirmed incidents with continued telemetry investigation, scoping, and analytical depth. Continuously sharpen how the SOC investigates, identifying gaps in methods, runbooks, and tooling through daily casework and turning them into concrete improvements. Mentor Tier 1 and Tier 2 analysts through case reviews, coaching, and pairing during investigations. Partner with Security Engineering, Platform Security, Threat Intelligence, SOC Automation, and additional teams to turn what the SOC learns into stronger detection and response across Nebius. Participate in readiness activities - tabletops, post-incident reviews, and purple-team engagements. Participate in the on-call rotation as the senior point of contact outside business hours. We expect you to have: Experience Around 8-10 years of hands-on experience in security operations or incident response, with a track record of leading complex investigations. Technical Expertise Expert-level investigation capability across multiple domains: endpoint, identity, cloud, and network. Solid understanding of cloud-native environments, including containers, Kubernetes. Deep practical fluency with EDR, SIEM query languages, and log analysis. Deep knowledge of Windows and Linux internals, applied to artifact and behavioral analysis. Fluency in attacker TTPs (MITRE ATT&CK), including the Cloud and Containers matrices. Strong scripting and data-analysis skills (Python, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions. Advanced certifications such as GCIH, GCFA, GNFA, GCFE, or OSCP are an advantage. Leadership & Communication Technical leadership through credibility, raising the team's bar without relying on formal authority. Calm and structured during high-severity incidents, making sound decisions amid uncertainty. Excellent written communication, turning complex investigations to clear narratives others can act on. Fluent in English, written and verbal, comfortable working with international teams and stakeholders. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to invest, and the forecasting pipeline is already live. We are opening this role to have one senior analyst own its accuracy and its evolution. This is research and predictive analytics, not reporting: everything that can be standardised is already automated by Data Engineering, so the work is hypotheses, factor analysis and improvements to the prediction algorithm itself. You report to the Head of the Operational Department and work directly with Product, UA, Finance and Data Engineering. What you will do Own and develop the LTV prediction algorithm: find the parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering. Validate forecasts on closed cohorts, monitor forecast quality over time and explain where exactly a model deviates from actual LTV. Research what moves LTV: product features, segments, purchase sources (for example, purchases coming through CRM vs other sources), and adapt the prediction logic to them. Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics at company level. Automate analytical routines and model quality monitoring together with Data Engineering. Requirements Critical 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution. Strong SQL: complex queries, window functions, optimisation. Here SQL is the main instrument for prototyping and testing the algorithm. Solid mathematical statistics and understanding of how ML models work: you can build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis and explain where a model broke. Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback. Subscriptions are ideal; other in-app B2C models also work. Ad-only monetization is a different pattern and is not a fit. A proven end-to-end pattern: you take a vague question, form a hypothesis, dig into it and bring it to a recommendation. There is no micromanagement here and almost no standard tasks. Ability to back conclusions with data and to communicate them to both technical and business stakeholders. Non-critical Python (pandas, numpy, scikit-learn) for analysis and modelling: welcome, but not a blocker if the statistical and analytical thinking is there. A/B testing and statistical hypothesis testing. BI tools (Tableau, Looker, Power BI). Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar). Will be a plus Feature engineering and model interpretation (SHAP, feature importance). Mobile products, gaming or subscription businesses. Our stack: Amazon Athena, S3-based DWH, CatBoost, Tableau, Git, Jupyter. Why You'll Love Working With Us Impactful Work: Your contributions will directly shape the future of our company. Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. AI solutions Wealth: We offer a competitive salary. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Hiring process Intro call with the recruiter. Technical interview: SQL, statistics and ML fundamentals, plus an analytical case on how you build a plan to investigate a problem. Final interview with the department head. Optionally, a 30-minute culture fit conversation with HRBP. If this is the kind of work you want to own, send us your CV. We will come back to you with the next step.

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Trading Analyst, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior. How you will make an impact… Investigate the potential application of existing strategies to new products Quantitatively analyze trade data and perform post-trade analysis of strategies Assist in the development of analytical tools Communicate relevant news, market events, and system behavior to team members in a clear and concise manner Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team What you bring to the team… A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field graduating between December 2026 and June 2027 Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations A deep curiosity of analysing large data sets using your knowledge of probability and statistics Familiarity programming in Python, C++, C or similar languages Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments Can advocate for your perspectives on trading strategies and risk in a concise manner to the team The ability to communicate effectively and work well in teams 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 .

Location: Poland Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows, achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee well-being and a strong workplace culture. Who We're Looking For We are seeking an innovative Business Analyst to join our No-Code Development Team. Our mission is to address real-world challenges and drive transformative impact through no-code technology. In this role, you'll leverage the Creatio platform, which allows you to cover most CRM functionalities with no-code development. You will utilize these tools to create applications and conduct research to determine what is actually needed to solve real-world problems effectively. Key Responsibilities UI Creation with No-Code Tools: Create application UIs using no-code designer tools, including a drag-and-drop interface for composing UI for pages and sections, simplifying and accelerating the development process. Server Logic Automation: Develop server logic automation using no-code business process tools, similar to a diagram constructor, to implement complex logic for applications, tailored to BPMN notation, leveraging no-code capabilities to streamline automation. Web Services Integration: Create web services for system integration using no-code tools, including designing RESTful APIs and SOAP interfaces to enable seamless data exchange, ensuring adherence to security protocols, and providing documentation for developers and third-party systems. Webhook Services Configuration: Create and configure webhook services using no-code tools to receive requests from external services, ensuring proper authentication, data handling, and logging mechanisms for secure and reliable communication. Database Design: Design database structures using Creatio Objects designer, involving defining tables, relationships, and data fields to ensure scalability, performance, and data integrity. User Story Decomposition: Decompose user stories into executable tasks for no-code creation. Market Research: Conduct market research to generate insights on competitors, industry trends, and analytical reports (e.g., Gartner, Forrester) to identify opportunities for product improvement. Customer Feedback Gathering: Conduct interviews with end users or solution consultants to gather customer feedback and key product requirements. Collaboration with QA: Collaborate closely with Quality Assurance Engineers to ensure both manual and automated testing of created solutions, guaranteeing high-quality, robust, and reliable outcomes. Version Control: Utilize Git/SVN for version control, ensuring seamless collaboration, code integrity, and efficient management of application changes. Requirements Proven experience in conducting business analysis and research tasks, including market research, competitor analysis, and gathering business requirements to shape product features. Knowledge of database management, including key principles of T-SQL, data queuing, designing relationships, view models, indexes, and understanding the fundamentals of complex selection queries such as joins and sub-selects. Solid understanding of BPMN notation principles, with the ability to model business processes accurately and efficiently. Proven experience working within software development teams or as a business analyst for IT projects, demonstrating effective collaboration skills. Hands-on experience in configuring information systems through UI-based tools, ensuring optimal user experiences. Strong general understanding of technology concepts, data structures, and integration methods to ensure seamless implementation of no-code solutions. A fast learner, capable of quickly adapting to new UI tools and technologies, with an eagerness to continuously expand your skill set. Proficiency in English, with the ability to conduct interviews and collaborate effectively with international stakeholders. Will Be a Plus Demonstrated proficiency with one or more of the following platforms and tools: CRM, BPM, or No-Code Platform/System experience. Coding skills, with the ability to understand and communicate technical concepts effectively. Proficiency with Figma or similar software for UI prototyping, creating clear and effective user interfaces that enhance the user experience. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: San Francisco, CA | Seattle, WA 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 We are seeking a Finance Systems Analyst, Tax, to join the Tax Technology team within Finance Systems at Anthropic. You will be responsible for the day-to-day running of Anthropic's tax systems: taking in and triaging requests, keeping tax configuration correct as products launch and registrations change, testing changes before they go live, analyzing tax data, and producing the evidence that shows our tax controls are comprehensive and functional. You speak both tax and system languages natively and serve as the gap between technical teams and the business. This is an early hire on a small team, and the role is broad by design. It suits someone with a tax operations background who is at home in systems and data; it is not a software engineering role. You will work between the tax team and the systems that calculate and report tax, translating tax requirements into configuration and test cases and building technically appropriate tools with Claude where they are safe and save time. You will report to the Tax Technology Lead and work directly with vendors, auditors, Billing Engineering, Accounting, and the Tax & Treasury team. As the team grows, you will take end-to-end ownership of an area of tax, a tax tool, or new products and jurisdictions. Responsibilities Intake & Triage: Own the queue of tax systems requests from billing support and across the tax team, from intake and triage through resolution or escalation, keeping requesters informed along the way; help build the intake process, including with Claude, as request volume grows Tax Configuration: Make and document tax configuration changes as products launch and our footprint grows, including product taxability mapping, registrations, and exemption and refund rules; build runbooks and periodic completeness checks, such as reviewing the products in our billing systems against tax configuration Testing & Change Management: In conjunction with our PMO team or alone, design and run user acceptance testing (UAT) for tax and billing changes, keep the test evidence, and give the tax sign-off before changes go live Tax Data Analysis: Write SQL against our data warehouse to build reconciliations and tie-outs, investigate discrepancies, and answer ad hoc questions from the tax team Controls & Evidence: Prepare ITGC evidence and run the recurring SOX and IPE evidence cycle for tax controls, support auditor walkthroughs, and follow remediation items through to closure Cross Functional Collaboration: Act as the tax systems point of contact for Billing Engineering, Accounting and Product, bringing the tax view to design questions and flagging tax impacts before changes ship Process Improvement & AI Tools: Use Claude and other AI tools to build reliable, repeatable queries, small tools and documentation that take manual work out of tax operations, and check the output before anyone relies on it; help tax colleagues with a range of technical skills use these tools safely Minimum Qualifications Have hands-on experience configuring or supporting an enterprise tax engine, tax provision tooling, or a billing or ERP system in a tax-facing role Can read and write SQL well enough to test and build deterministic reconciliations and trace a discrepancy to its source without help Are skilled at translating tax requirements into configuration, test cases and clear requests for engineering teams Have owned or been involved in user acceptance testing on a finance systems project, from test design through execution and evidence Understand SOX, ITGC and IPE controls, can produce evidence that auditors accept, and have worked with external advisors and auditors Have cross-functional experience, communicate clearly with non-technical colleagues, and work directly with vendors, auditors and engineers without an intermediary Are comfortable working in a fast paced, high growth environment with evolving requirements and stepping outside of your comfort zone Approach areas of tax you may not have experience in with genuine curiosity and a willingness to learn Prioritize well and stay resilient when there is more work than time Preferred Qualifications Have 7+ years of experience in tax operations, tax technology or finance systems, with deep, practical knowledge of indirect and/or direct tax (such as sales and use tax, VAT/GST, corporate income tax, transfer pricing, withholding or property tax, R&D credits and incentives) Experience across both indirect and direct tax, such as tax provision tooling, income tax compliance, R&D credit tools or transfer pricing data Python and data warehouse experience Experience with tax setup on the purchasing side of an ERP, from purchase orders through supplier invoices Experience with marketplace facilitator rules or usage-based billing Familiarity with e-invoicing and real-time tax reporting requirements outside the US Experience standing up a recurring controls evidence cycle A track record of using Claude or other AI tools to speed up finance or tax work, with checks that hold up to review Tax experience at a large or high growth technology company, such as a multinational SaaS business 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: $205,000 — $270,000 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: Worldwide Workplace: remote RequirementsBusiness Analysis: At least 2 years of experience as a Business Analyst, gathering, analysing and documenting business requirements to ensure business needs are translated into clear implementation requirements.Requirements Management: Experience in documenting business processes, user journeys, functional and non-functional requirements, preparing user stories, acceptance criteria and technical documentation to support the full delivery lifecycle.Process Modelling & Collaboration Tools: Working knowledge of BPMN, UML, Jira, Confluence, Miro and Figma (reviewing designs, documenting interface logic and collaborating with designers) to support solution design and delivery.Data Analysis: Experience with Metabase or other BI tools, validating data and metrics, and defining requirements for reports and dashboards to support data-driven decision-making. Basic SQL knowledge is an advantage.AI: Experience using AI tools in day-to-day work, understanding the capabilities and limitations of AI solutions, and identifying opportunities to automate business processes.Software Delivery: Understanding of SDLC and Agile ways of working to collaborate effectively with development teams throughout the delivery lifecycle.Communication: Strong analytical and communication skills, with the ability to work effectively with cross-functional stakeholders. Upper-Intermediate (B2) level of English or higher is considered an advantage.ResponsibilitiesGather, analyse and document business requirements from internal stakeholders to ensure solutions meet business needs.Analyse and optimise HR processes, identify opportunities for automation, and define requirements for new functionality.Prepare user stories, acceptance criteria, technical specifications and other project documentation to support solution delivery.Break down business requirements into development tasks and support implementation from discovery through to release and post-launch support.Define requirements for reports and dashboards, validate data and metrics in Metabase, and ensure the accuracy of reporting.Explore opportunities to apply AI to internal processes, define requirements for AI-enabled functionality, participate in solution validation, and collaborate with HR, developers, designers, analysts and other stakeholders to deliver effective business solutions.What we offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend. The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development. Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours. Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work. Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience. What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap. Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer. How to Apply: Fill out the application form at the provided link; no cover letter required.

Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Hofuf, Saudi Arabia We are seeking a Media News Analyst to join our team for a Saudi Aramco project in Dhahran, Saudi Arabia. The successful candidate will be responsible for monitoring and analyzing media coverage across digital, social, and broadcast platforms, preparing media intelligence reports, and supporting media relations and crisis communication activities. The ideal candidate should have strong analytical skills, excellent communication abilities in both English and Arabic, and experience in media monitoring or journalism. Key Responsibilities Monitor online, social media, broadcast, and digital news channels for relevant media coverage. Analyze media content and identify critical news based on established guidelines. Respond to media-related inquiries and maintain accurate records for tracking and follow-up. Prepare daily, weekly, monthly, and quarterly media monitoring and impact reports. Utilize media monitoring platforms to track news trends and public sentiment. Coordinate with Media Relations and internal stakeholders to ensure timely communication. Support crisis communication activities by monitoring developments and providing media intelligence. Maintain accurate documentation and ensure timely dissemination of media updates. Requirements Bachelor's degree in Mass Communications, Media, Journalism, Public Relations, Corporate Communications, or a related field. Minimum 2 year of professional experience in media monitoring, journalism, public relations, or communications. Proficiency in English and Arabic (written and spoken). Experience using media monitoring tools and analyzing news trends. Strong analytical, reporting, and communication skills. Ability to work on a rotating 8-hour shift schedule . Proficient in Microsoft Office (Excel, Word, PowerPoint).

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games. We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide. ROLE We’re looking for a Senior Data Analyst to join our Engineering & Data team. The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Design, build and monitor data models & dashboards to track business metrics - Work with cross-functional teams to identify key business needs and solve them using adequate statistical models - Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights. - Establish data quality processes to ensure the reliability and accuracy of our machine learning models. - Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support. - Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment. - Work closely with the central data team to source additional data and enhance data management practices PROFILE - At least 4 years' experience in Data Analysis - Proficient with SQL and/or Python, with a proven experience working with large and complex data sets. - Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail. - Experience with statistical modeling & predictive analytics - Excellent verbal & written communication abilities - Experience building dashboards with Tableau. - Experience in gaming industry or mobile marketing is a plus - Any personal or professional experience with machine learning will be valued OUR STACK SQL; Python; DBT; AWS; Tableau BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Limassol, Cyprus RequirementsBusiness Analysis: At least 2 years of experience as a Business Analyst, gathering, analysing and documenting business requirements to ensure business needs are translated into clear implementation requirements.Requirements Management: Experience in documenting business processes, user journeys, functional and non-functional requirements, preparing user stories, acceptance criteria and technical documentation to support the full delivery lifecycle.Process Modelling & Collaboration Tools: Working knowledge of BPMN, UML, Jira, Confluence, Miro and Figma (reviewing designs, documenting interface logic and collaborating with designers) to support solution design and delivery.Data Analysis: Experience with Metabase or other BI tools, validating data and metrics, and defining requirements for reports and dashboards to support data-driven decision-making. Basic SQL knowledge is an advantage.AI: Experience using AI tools in day-to-day work, understanding the capabilities and limitations of AI solutions, and identifying opportunities to automate business processes.Software Delivery: Understanding of SDLC and Agile ways of working to collaborate effectively with development teams throughout the delivery lifecycle.Communication: Strong analytical and communication skills, with the ability to work effectively with cross-functional stakeholders. Upper-Intermediate (B2) level of English or higher is considered an advantage.ResponsibilitiesGather, analyse and document business requirements from internal stakeholders to ensure solutions meet business needs.Analyse and optimise HR processes, identify opportunities for automation, and define requirements for new functionality.Prepare user stories, acceptance criteria, technical specifications and other project documentation to support solution delivery.Break down business requirements into development tasks and support implementation from discovery through to release and post-launch support.Define requirements for reports and dashboards, validate data and metrics in Metabase, and ensure the accuracy of reporting.Explore opportunities to apply AI to internal processes, define requirements for AI-enabled functionality, participate in solution validation, and collaborate with HR, developers, designers, analysts and other stakeholders to deliver effective business solutions.What we offerHigh salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Raanana, Center District, Israel Workplace: on-site At TechBiz Global, we provide recruitment services to top clients from our portfolio. We are currently looking for a Data Analyst to join one of our client’s team. We are looking for a brilliant Data Analyst who wants to do real research . This is a brand-new role in a growing team, meaning you will have a direct impact on how our data models evolve. In this role, you won't build dashboards. You will work hands-on with complex datasets to design, test, and iterate on advanced logic flows. You’ll be responsible for identifying key behaviors and events, continuously improving data quality, and turning raw data into high-value strategic conclusions. Requirements: 3–5 years of proven experience as a Data Analyst. Strong proficiency in SQL Server . Solid programming hands-on experience in Python or R . Strong statistical background. Advantage: A genuine passion for sports (Soccer, Basketball, etc.)

Location: Remote - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations. - Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable. - Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Mandarin and/or Korean language ability. - Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities. - A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering. - Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Europe Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team We're looking for a Technical Support Analyst to help us deliver exceptional support for Rain's platform and integrations. You'll work directly with the fintechs, platforms, and partners building card programs and stablecoin products on Rain — troubleshooting complex API integrations, reading logs, and querying data to resolve issues that touch real money movement at scale. You'll partner closely with almost every team in the company on escalations, and turn what you learn on the ground into fixes that pushes Rain forward. What you’ll do - Investigate and resolve advanced customer and partner issues across Rain's systems, APIs, and integrations. - Troubleshoot complex API integrations directly with partners, walking them through clear steps to resolve issues on their end. - Own incidents in your queue as part of the team's 24x7 coverage: triage promptly, communicate clearly with clients and internal stakeholders, and consistently hit your SLA, CSAT, and quality targets. - Escalate effectively by partnering closely with other teams to get to a satisfactory resolution - Maintain accurate documentation and build troubleshooting guides and knowledge base content, supporting both self-serve resolution for customers and onboarding for the team. - Feed insights back to Product and Engineering - Collaborate with Engineering on testing, monitoring, and alerting improvements, and support new feature rollouts and integrations as they ship. You are likely to succeed if you have: - 3+ years of experience in a technical, customer- or partner-facing support role — ideally in fintech, payments, SaaS, or another high-growth, API-first environment. - Hands-on experience with API products, plus comfort reading logs and writing SQL queries to investigate issues - Familiarity with support processes and case management best practices - Strong analytical and problem-solving skills, with a detail-oriented, root-cause mindset. - Clear writing and communication skills - Ability to prioritize effectively and manage multiple complex cases at once Bonus attributes: - A strategic, collaborative, results-oriented approach, and a genuine interest in payments or other areas of fintech. - A collaborative mindset, a passion for continuous learning, and a knack for building long-lasting relationships. - scripting or lightweight automation experience is a plus. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain’s next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you’ll do - Serve as a primary point of contact for fraud-related escalations from partners and customers. - Create ad hoc data pulls with SQL for anomaly investigation and analyze the results for fraudulent activity. - Document investigation findings, actions taken, and outcomes in accordance with internal processes. - Work with Visa tools to investigate transactions and report fraud to Visa (via their tools) and our partners as needed. - Recommend actions on cards, accounts and rule sets based upon deep dives of fraudulent traffic. - Stay current with the latest industry fraud trends, emerging fraud techniques, and new technologies to remain effective at identifying and preventing evolving schemes. - Partner with Product, Engineering, and Compliance teams to escalate findings and inform rule changes. You are likely to succeed if you have: - Proficiency in SQL, Excel and data visualization tools. - 2+ years of experience in fraud prevention, payments risk, or financial crime investigation. - Strong verbal and written communication skills. - Background in identity risk, AML, payments fraud, or compliance analytics. - The ability to investigate transactions and other user events and be able to determine risk level of anomalous behavior. Bonus attributes: - Experience at a high-growth fintech company or financial services company. - Experience working with disputes and disputes processing. - Deep experience working with Visa tool suite. - CFE certification. - Proficiency and experience with Python. - Experience using AI-assisted tools for fraud analysis, document creation and optimizing workflows. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Master Data Management Analyst to support the growing needs around data management as well as expanding initiatives to enhance the customer experience of data systems. This individual will be responsible for supporting the day-to-day operations of the data governance program, including ensuring teams are completing data requirements and maintaining data accuracy across critical systems. Responsibilities Work alongside colleagues across a variety of functional teams to ensure accuracy and completeness of critical data elements within the Fund's Global Data Master (GDM). Support day-to-day data governance program operations, including tracking and following up with teams to ensure data requirements are completed on time and accurately. Monitor data quality across systems, identifying gaps, inconsistencies, or missing information and coordinating resolution with relevant stakeholders. Assist in the creation and maintenance of business rules to monitor quality of master data. Identify data cleansing opportunities and work with stakeholders to implement. Liaise with key stakeholders to ensure data accuracy and completeness for relevant data points entered into GDM. Collaborate with team members to achieve the team's goals. Qualifications 2+ years of relevant experience in the financial industry or a related role Degree in finance, data management, or a related field is preferred Previous experience in a master data management role is a plus Able to manage workload independently within a predetermined timeline and communicate quickly when an extension may be required Solid verbal and written communication skills Strong organizational skills with the ability to track multiple workstreams and follow up with stakeholders to drive completion Critical attention to detail when reviewing and validating data Experience with SQL is a plus Knowledge and proficiency with Microsoft Office Suite Benefits The base salary range for this role is $60,000 to $75,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, NY; Europe | Spain Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team We're looking for a Technical Support Analyst to help us deliver exceptional support for Rain's platform and integrations. You'll work directly with the fintechs, platforms, and partners building card programs and stablecoin products on Rain — troubleshooting complex API integrations, reading logs, and querying data to resolve issues that touch real money movement at scale. You'll partner closely with almost every team in the company on escalations, and turn what you learn on the ground into fixes that pushes Rain forward. What you’ll do - Investigate and resolve advanced customer and partner issues across Rain's systems, APIs, and integrations. - Troubleshoot complex API integrations directly with partners, walking them through clear steps to resolve issues on their end. - Own incidents in your queue as part of the team's 24x7 coverage: triage promptly, communicate clearly with clients and internal stakeholders, and consistently hit your SLA, CSAT, and quality targets. - Escalate effectively by partnering closely with other teams to get to a satisfactory resolution - Maintain accurate documentation and build troubleshooting guides and knowledge base content, supporting both self-serve resolution for customers and onboarding for the team. - Feed insights back to Product and Engineering - Collaborate with Engineering on testing, monitoring, and alerting improvements, and support new feature rollouts and integrations as they ship. You are likely to succeed if you have: - 3+ years of experience in a technical, customer- or partner-facing support role — ideally in fintech, payments, SaaS, or another high-growth, API-first environment. - Hands-on experience with API products, plus comfort reading logs and writing SQL queries to investigate issues - Familiarity with support processes and case management best practices - Strong analytical and problem-solving skills, with a detail-oriented, root-cause mindset. - Clear writing and communication skills - Ability to prioritize effectively and manage multiple complex cases at once Bonus attributes: - A strategic, collaborative, results-oriented approach, and a genuine interest in payments or other areas of fintech. - A collaborative mindset, a passion for continuous learning, and a knack for building long-lasting relationships. - scripting or lightweight automation experience is a plus. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.