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Location: Санкт-Петербург Команда блока «корпоративно – инвестиционный бизнес» ищет в команду кредитного специалиста. Мы работаем над несколькими направлениями в сегменте крупный/средний бизнес: · оборотное кредитование · контрактное кредитование · инвестиционное и проектное финансирование. Обязанности ### Что нужно делать * готовить заключения по сделке * анализировать финансово-хозяйственную деятельность заемщика, группы компаний * структурировать кредитные сделки * взаимодействовать с кросс-функциональными подразделениями в рамках совместных сделок * оценивать финансовые показатели при проведении кредитного анализа * готовить презентации по сделке, и защищать сделки на коллегиальном органе банка * своевременно диагностировать проблемы заемщика, работать с проблемной и просроченной задолженностью * курировать кредитную работу отдела. Требования ### Требования * высшее образование в области: финансы, банки, экономика или бухгалтерия * опыт рассмотрения кредитных сделок (оборотное кредитование, контрактное кредитование, проектное финансирование, инвестиционное кредитование) * актуальный опыт работы в должности кредитного инспектора крупнейшего, крупного и среднего бизнеса от 2-х лет * знание действующего законодательства РФ в части вопросов, связанных с кредитованием корпоративных клиентов * знания бухгалтерского учета и анализа финансово-хозяйственной деятельность * инструментальное владение AI для анализа, генерации и автоматизации Условия ### Мы предлагаем: * трудоустройство согласно ТК РФ * гарантированный доход плюс премиальное вознаграждение * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * льготные условия кредитования * ДМС с первого дня и льготное страхование для близких * подписка Прайм с возможностью совместного использования на трёх близких * корпоративная пенсионная программа * обучение за счет компании: онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию * курсы для будущих родителей, материальная поддержка молодых мам, детский отдых и подарки за счет компании * реферальная программа для сотрудников: можно пригласить в команду знакомых профессионалов и получить вознаграждение

Location: Bogotá, Colombia; Mexico City, Mexico; Panama City, Panama; Brazil Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the insurance industry is required Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills are a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Georgia; Portugal; Vietnam; Poland Key Responsibilities Design and implement BPMN processes and DMN decision tables in Camunda 8 for customer support automation (both greenfield and ongoing improvements). Configure and maintain logic and prompts in no-code AI platforms, such as call flow schemes for voice bots, LLM (language model) classifiers, and other AI-driven tools. Support and debug active automation scenarios in Camunda Operate; deliver quick fixes and continual improvements in production environments. Integrate processes with internal and external systems via REST API, JSON, and message brokers (Kafka). Collaborate cross-functionally with product, technical, and analytics teams. Continuously adopt and champion new technologies, AI integrations, and promote a culture of automation across the organization. Requirements 3+ years of hands-on experience with production BPM engines, including end-to-end design and deployment of executable BPMN/DMN processes. Solid experience with Camunda 7/8 in production environments. Expert knowledge of BPMN 2.0, DMN, and FEEL. Proven experience in integrations via REST API, JSON, and message brokers (Kafka). Understanding and interest in modern AI/LLM solutions (for business process integration). Ability to independently gather and clarify technical requirements, working closely with both business stakeholders and technical teams. Communication skills and willingness to collaborate and share expertise. Nice-to-have Automation experience in customer support or operational business teams. Experience specifying API and integration requirements. SQL skills for data validation and process behavior analysis. Experience with prompt engineering and no-code/low-code AI platforms. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: Chicago, IL WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU We are seeking a Senior Compensation Analyst to join our People Operations, Intelligence, and Total Rewards (POINTR) team . In this key role reporting to the Global Compensation & People Analytics Director, you will serve as the primary analytical engine for the compensation team while driving core projects across annual compensation cycles and POINTR initiatives. You will lead complex financial modeling, manage program execution, leverage modern AI tools to optimize workflows and deliver data-backed insights to support Box’s continued growth. WHAT YOU'LL DO Conduct annual and ad-hoc market pricing to evaluate and maintain global salary bands, equity ranges, geographic pay differentials, and total cash target compensation. Model equity burn rates, dilution, overhang, and run-rate projections in collaboration with Finance/Accounting and Legal. Perform statistical and ad-hoc quantitative analyses to forecast costs, model compensation scenarios, and deliver data-backed recommendations to leadership and People Partners. Design executive-level dashboards and reporting tools to translate raw compensation data into clear, actionable business insights. Ensure compliance with global and local pay transparency legislation, reporting standards (e.g., EU Pay Transparency Directive, state-level US wage transparency laws), and audit requirements. Assist with compensation planning tool setup by running test scenarios, verifying calculation formulas, and validating budget allocation rules. Clean employee data, audit eligibility, and assist with compensation system testing and rule validation ahead of launch. Provide ongoing support during compensation planning cycles to People Partners and other key stakeholders. Conduct final data integrity checks, generate compensation statements, and prepare files to finalize cycle Leverage Excel and permitted AI tools to streamline modeling workflows, troubleshoot complex formulas, and accelerate analytical insights in compliance with data privacy policies. Partner closely with People Partners, Recruiting, Stock Administration, and Finance to streamline cross-functional workflows and governance. Utilize AI to draft and refine clear compensation communications, manager training resources, and self-service enablement guides. Continuously identify opportunities to integrate AI and automated workflows into team processes to increase efficiency, scalability, and to solve real business questions. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Bachelor’s degree in Finance, Economics, Statistics, HR, Business, or equivalent practical experience. 4–5 years of strong analytical experience building complex financial, statistical, or compensation models in Excel. Familiarity with and enthusiasm for leveraging leading AI models and prompt engineering to enhance productivity, data analysis, and documentation where data policies permit. Solid understanding of compensation mechanics (broad-based pay, incentive structures, and equity compensation). Proficiency with Workday and compensation benchmarking/survey tools (e.g., Radford, Pave, Syndio, or similar). Analytical thinker who combines data-driven rigor with organizational context to create actionable insights. Innovative problem-solver eager to embrace AI tools and technology to eliminate manual work and scale impact. Highly organized and detail-oriented, with the ability to manage multiple priorities and meet project deadlines with high-quality execution. Strong communicator capable of conveying complex quantitative findings and project updates with clarity and ease. Team-first attitude. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-Hybrid Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $85,500 — $107,000 USD

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: Санкт-Петербург Управление развития малого бизнеса Головного отделения по Санкт-Петербургу Северо-Западного банка в поиске Начальника сектора кредитных аналитиков Обязанности * организация работы сектора кредитования * координация деятельности между подчиненными, команда 7 чел. * оперативное распределение задач и обязанностей между сотрудниками * распределение вновь поступивших кредитных заявок между кредитными аналитиками в соответствии с нагрузкой * обеспечение выполнения бизнес-плана/KPI * взаимодействует со смежными подразделениями при рассмотрении кредитных сделок * контроль сроков рассмотрения кредитными аналитиками кредитных заявок клиентов сегментов "Малый бизнес", "Микро бизнес" на всех этапах кредитного процесса * проверка качества подготовки заключений кредитных аналитиков по кредитным заявкам клиентов сегментов «Микро бизнес» и «Малый бизнес». Требования * высшее образование * опыт работы в области кредитования корпоративных клиентов не менее 3 лет, опыт руководства подразделением кредитования не менее 1 года * опыт структурирования сделок по кредитованию в рамках стандартных процессов * знание анализа финансово-хозяйственной деятельности предприятия * умение использовать нейросети в повседневной работе. Условия * адрес: г. Санкт-Петербург, м. Ладожская * льготные условия кредитования * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * ДМС с первого дня и льготное страхование для близких * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * корпоративная пенсионная программа * обучение за счет компании: онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию * белая зарплата: оклад и премии * трудоустройство согласно трудовому кодексу.

Location: Armenia; Czech Republic; Poland; Serbia Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About the Role As the business grows and introduces increasingly sophisticated financial products, we are looking for an experienced professional to take ownership of our financial data ecosystem: improving cost and revenue collection methodologies, strengthening reconciliation processes, and driving deeper analytical insight for management. Reporting Line: Head of Business Intelligence Location: Remote Responsibilities Review and redesign existing cost and revenue collection processes from external counterparties Develop scalable methodologies for integrating new financial products into the accounting and reporting ecosystem Design automated validation and control mechanisms that improve financial data quality Review and audit the current Activity-Based Costing (ABC) methodology Investigate discrepancies and work with Finance, Operations, and Technology to resolve root causes Manage multiple reporting scopes with varying legal entity inclusion and exclusion rules Support ad-hoc reporting requests during corporate transactions Qualifications Strong understanding of financial reporting and accounting principles Experience working with General Ledger data Experience designing reconciliation or financial control processes Strong analytical mindset, with the ability to investigate complex financial data Experience working with SQL and large datasets Ability to understand end-to-end financial processes rather than isolated reports Excellent communication skills, including the ability to explain complex findings to both technical and non-technical stakeholders Personality / Mindset Integrity & loyalty Team player with advanced communication and collaboration skills A hands-on, can-do attitude - always looking for solutions and thinking out of the box Overachiever mentality Capability to work and succeed in a fast-paced and ever-changing environment We Offer* Competitive salary Corporate benefits (choose your preferred options) Truly inspiring culture, pleasant and informal work environment Ongoing education & training programs Opportunity to network and connect in the Corporate Events Global career opportunities *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

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 focused on Conventional Weapons, your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, specifically utilizing conventional weapons and dangerous technology. You will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, graphic, hateful, or psychologically disturbing nature. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging tactics Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content Keep up to date with emerging weapons trends and applications, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent activity Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence to make enforcement decisions Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, or physical harm facilitation Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Subject matter expertise in conventional weapons and dangerous technology, autonomous systems, or critical infrastructure protection Familiarity with relevant legal and regulatory frameworks governing dangerous technology, conventional weapons, and critical infrastructure Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK) Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm Proficiency in Python for data analysis and workflow automation Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization Familiarity with cross-platform threat analysis and OSINT techniques 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: Москва, удалённая работа или гибрид, RU; Россия О команде Техническая платформа — внутреннее облако Авито, которое обеспечивает работу тысяч микросервисов, баз данных и хранилищ. Это более 5 000 серверов и 300+ команд разработки, которые пользуются платформой. Мы используем аналитику, чтобы делать платформу надёжнее и эффективнее: оцениваем влияние технических инцидентов на продуктовые метрики, исследуем эффективность AI-инструментов и процессов разработки, прогнозируем потребность в ресурсах. Здесь предстоит решать нестандартные задачи на пересечении аналитики, продукта и технологий, влияя на стабильность и скорость работы Авито. Какие задачи вас ждут: — исследовать, как надёжность технической платформы влияет на продуктовые метрики, и оценивать стоимость инцидентов; — изучать влияние AI-инструментов на процессы разработки (SDLC), оценивать их эффективность и находить возможности для улучшения внутренних продуктов; — развивать продуктовый подход к внутренним инструментам: анализировать, насколько они помогают предотвращать инциденты и ускорять их устранение; — анализировать использование ресурсов внутреннего и внешнего облака, прогнозировать потребность в них и находить возможности для оптимизации; — разрабатывать и развивать ML-модели для умного алертинга и раннего обнаружения инцидентов; — применять A/B-подходы к канареечным релизам, чтобы оценивать эффективность изменений; — исследовать причины и факторы, влияющие на надёжность Авито, выявлять неэффективные процессы и предлагать улучшения. Мы ждём, что вы: — имеете опыт работы в аналитике данных от трёх лет; — уверенно владеете SQL: умеете работать с большими объёмами данных, писать и оптимизировать сложные запросы, создавать аналитические витрины; — используете Python и библиотеки для анализа данных; — хорошо знаете математическую статистику и умеете применять её для решения практических задач; — знаете теорию A/B-тестирования; — умеете связывать результаты исследований и математических моделей с продуктовыми и бизнес-метриками. Будет здорово, если вы: — понимаете основы архитектуры распределённых систем; — работали с Linux, Docker, базами данных и другими компонентами инфраструктуры. Работа у нас — это: — расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; — сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; — корпоративный спорт: групповые тренировки, велбиинг-приложение; — спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; — компенсация питания.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is hiring a Senior Deal Desk Analyst to join our growing Deal Desk team. As a key member of a small but mighty Deal Desk function, you’ll partner closely with our global Sales team to support the end-to-end deal lifecycle. From pricing strategy to quote creation and contract execution, you’ll ensure deals move efficiently, align with internal policies, and scale with our growth. This is an exciting opportunity to build high-impact, scalable processes in a fast-paced, high-growth environment. What You Will Do: Deal Desk Management: Deliver full quote-to-signature support for global Account Executives, including quote creation, pricing approvals, order form (OF) generation, and accurate opportunity closure in Salesforce. Manage and monitor the quote queue and approval workflows, ensuring timely responses and maintaining exceptional organizational standards. Proactively drive deal momentum, especially at month- and quarter-end, by resolving blockers and delivering excellent partner support. Provide pricing insights, product guidance, and analytical support on large, complex, or non-standard deal structures. Systems Oversight: Help administer Chainguard’s CPQ (Roadrunner) and CLM platform (Ironclad), including updates to the company's price books and legal workflows. Maintain high standards of data integrity and system hygiene across CPQ, CLM, and CRM (Salesforce). Ensure seamless order management and alignment across internal systems for accurate product and partner attribution tracking. Process Ownership and Cross-Functional Collaboration: Support the documentation of Deal Desk processes and procedures to drive clarity, efficiency, and scalable growth across the organization. Partner closely with stakeholders in Sales, Finance, Legal, and Product, ensuring seamless alignment and coordination to streamline deal execution, uphold compliance, and remove roadblocks. Serve as a trusted cross-functional partner and primary point of contact for deal-related matters, fostering collaboration and accountability across multiple teams. About You: 2-3 years of Deal Desk experience within an Enterprise SaaS B2B environment Administrative experience with a CPQ and CLM tools a plus Strong business acumen, analytical and problem-solving skills, and demonstrated ability to partner with upstream GTM teams and other cross-functional departments Understanding of Marketplace offerings through AWS,  GCP, and Azure (nice to have) Highly organized, internal customer-focused and strong attention to detail Ability to multitask and prioritize at times of high volume, and have schedule flexibility during End of Month and End of Quarter Have an understanding of quote to cash process and sales contracts; proficient in identifying risks associated in deal terms and structures Ability to travel for QBRs (1x per quarter) Compensation: $110,000-$130,000 base salary plus bonus About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Colombia We are looking for a Senior Business Analyst to join the AML team in Colombia . Our AML system is live and covers what the bank needed to launch, and the next stage is to take it further: adapt it to credit, debit, and upcoming product scenarios, and build AML mechanics that reflect how the Colombian market actually works. In this role, you will dive deep into the existing system, design processes yourself, define requirements, and coordinate changes across a large group of stakeholders. You will work at the intersection of Compliance, Origination, credit and debit products, engineering, analytics, and operations, with direct impact on how AML works across the bank's products. Challenges that await you: Developing and adapting AML processes for the Colombian market: sanctions and PEP screening, transaction monitoring, case management, and suspicious activity reporting Defining requirements for AML scenarios across credit, debit, and new banking products Getting deep into the existing AML system and designing new processes end to end Writing business requirements, user stories, and acceptance criteria, and supporting implementation through development, UAT, and release Owning the health metrics of AML processes: registration conversion, the volume of customer contacts, case processing time, and the timeliness of regulatory reporting Analyzing registration-step conversion and the reasons behind customer contacts, and turning the findings into a prioritized backlog Working closely with Compliance Officers, Origination, and product teams to align AML requirements with product goals and customer experience Coordinating a large number of internal stakeholders and communicating status and risks to management Prioritizing initiatives and managing the backlog for the AML area What makes you a great fit: 4+ years of experience as a Business Analyst in fintech, banking, or another regulated environment A track record of owning a large area or a significant part of a product end to end — as a senior analyst or the only analyst driving a direction Ability to get into the technical side independently and understand how systems and processes are built Experience documenting requirements (BRDs, user stories, use cases) and modelling business processes (BPMN 2.0, UML) Strong cross-functional experience: working with many stakeholders and communicating directly with management, including above your immediate level Familiarity with prioritization frameworks (RICE, WSJF, MoSCoW) and backlog management Experience with Jira, Confluence, and Miro; basic SQL or spreadsheet skills for data validation B2 or higher English level for effective communication with an international team Your bonus skills: Experience in AML, anti-fraud, or financial crime prevention Experience launching or localizing a compliance framework in a new jurisdiction Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia with assistance for the employee and their family Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: When an LG refrigerator, washer or range breaks down in a customer's home, LG Electronics' Service organization makes sure it gets fixed. We're looking for a Customer Service Analyst to help us use data and AI to make those repairs faster, more reliable and easier for customers. In this role, you'll find where repairs get stuck, learn why customers are happy or unhappy, and estimate how many technicians we'll need and where. You'll turn what you find into clear reports and recommendations that leadership acts on. Along the way, you'll see the whole repair journey, from a customer's first call to the finished repair and the follow-up survey. The ideal candidate is curious, careful with numbers, and enjoys using data and new technology to solve real business problems. Responsibilities: Most of your time will go to answering real business questions with data, then explaining the answers simply. Here are some examples of what you'll do: Track how our service is doing. Keep weekly and monthly reports current on the numbers that matter most: how many days a repair takes, how often it's fixed on the first visit, and how many requests are still waiting. Find out why the numbers move. When repair times jump or satisfaction drops, you dig in. For example: do faster repairs really make customers happier? You'd match survey scores to repair times and analyze customer comments to find out. Forecast repair demand. Estimate how many repair requests each region will get in the coming months, combining our service history with public data such as weather and census figures. Leaders use these forecasts to decide where to place and hire technicians. Use AI and automation to cut manual work. Turn reports that are rebuilt by hand each week into dashboards that refresh on their own. Try AI tools, including generative AI, to speed up tasks such as cleaning data, sorting customer comments or drafting meeting notes. Keep the data trustworthy. Check that numbers match across sources before anyone uses them, fix the queries that feed our reports, and write simple guides so teammates can reuse the data. Prepare leadership updates. Build slides and summaries for business reviews, including monthly reports to LG headquarters in Korea, that lead with the answer and the recommendation. Excel is the tool you'll use most, and SQL (Google BigQuery) comes next for pulling and checking data. If you're still learning SQL, that's fine, but expect to build it up quickly on the job. You'll also use Google Sheets, dashboards (Tableau, Looker Studio), PowerPoint and, for heavier analysis, Python. Education / Experience (Requirements): Bachelor's degree in Business, Economics, Data Science, Statistics, Mathematics or a related field 2+ years of experience in data analysis, business analytics or strategic planning Fluent Excel skills: comfortable with basic formulas, pivot tables and building charts Experience building reports or dashboards in a BI tool such as Tableau, Power BI or Looker Studio (formerly Google Data Studio) Interest in, or hands-on experience with, using AI tools for analysis or automation — while verifying AI-generated results and being able to explain the logic and assumptions behind them Problem-solving skills: you can take a vague question, break it into steps and find the answer in the data Clear communication: you can explain numbers in plain words, in writing and in slides, to people who aren't analysts Care for accuracy: you check that your numbers add up before you share them Preferred Qualifications: Advanced Excel skills: LOOKUP (VLOOKUP, XLOOKUP), pivot tables, formulas, charts, and Solver and what-if simulation Korean–English bilingual: our work includes regular communication with LG headquarters in Korea Experience with SQL or Python for analysis Experience using generative AI tools to speed up analysis, coding or writing Familiarity with cloud data platforms such as Google Cloud (BigQuery), AWS or Azure Coursework or projects in forecasting, statistics, or survey and text analysis Interest in customer service, operations or logistics Recruiting Range $70,000 — $75,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Ireland, Dublin 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. IT Systems Analyst As an IT Systems Analyst, you will have a central role in maintaining and advancing Microsoft 365 and collaboration technologies throughout the organization. This position suits someone who excels in a dynamic, highly cooperative setting and enjoys managing operational support, enhancing processes, overseeing governance tasks, and coordinating across departments. You will collaborate closely with engineering, operations, security, and business groups to promote scalable, secure, and effective collaboration services across Microsoft Teams, SharePoint, OneDrive, Exchange Online, and Microsoft Entra ID. The ideal candidate is organized, analytical, adaptable, and driven to deliver outcomes. You manage several priorities while keeping careful attention to detail and follow-through. You work well in Agile settings, attend stand-ups and cross-functional efforts, engage with partners, support operational and governance processes, and assist initiatives from intake through completion. This role fits someone who likes solving problems, improving processes, collaborating, and helping teams function more efficiently at scale. Responsibilities Support Microsoft 365 operational initiatives, governance efforts, and platform improvements across Teams, SharePoint, OneDrive, Exchange, and Entra ID. Analyze ticket trends and recurring issues to find opportunities for process improvement, automation, and operational efficiency. Maintain and improve runbooks, knowledge articles, process documentation, and operational procedures. Support identity and access governance activities including RBAC, MFA, PIM, role assignments, and access reviews. Coordinate intake, tracking, and documentation of Microsoft 365 integration requests and operational workflows. Gather requirements and coordinate with engineering, security, governance, and support teams to move initiatives through review and implementation processes. Support high-priority incidents and blocking issues through coordination, communication, tracking, and follow-up activities. Facilitate meetings, stand-ups, and cross-functional discussions to help maintain alignment and execution across teams. Develop and sustain project tracking, status updates, reporting, dashboards, and operational communications. Support testing, rollout coordination, validation activities, and post-implementation follow-up for platform changes and enhancements. Work within enterprise ITSM processes and platforms such as ServiceNow or Jira Service Management. Partner with technical teams to support workflow automation and operational improvements using PowerShell, Microsoft Graph, Power Platform, or related technologies. Assist with adoption, communication, and change management initiatives associated with Microsoft 365 and collaboration technologies. Maintain strong communication and coordination across technical teams, leadership, vendors, and business collaborators. Qualifications 3–5+ years providing support for Microsoft 365 technologies in a corporate setting. Practical experience with Microsoft Teams, SharePoint Online, OneDrive, Exchange Online, and Microsoft Entra ID. Experience working within enterprise ITSM settings such as ServiceNow or Jira Service Management. Knowledge of identity and access governance principles including RBAC, MFA, PIM, and Conditional Access. Strong organizational, communication, documentation, and collaborator coordination skills. Experience supporting operational processes, governance workflows, or technical initiatives across cross-functional teams. Strong analytical and problem-solving skills combined with the capacity to handle several priorities at once. Familiarity with Agile methodologies, Scrum practices, and team coordination workflows. Experience developing documentation, reports, presentations, and operational communications. Preferred Experience providing support for Microsoft 365 governance, platform operations, or tenant modernization initiatives in enterprise environments. Familiarity with Microsoft Intune, identity governance, and enterprise security guidelines. Exposure to PowerShell, Power Platform, Microsoft Graph, automation workflows, or reporting solutions. Experience coordinating integrations, migrations, or operational improvement initiatives. Exposure to Generative AI technologies such as Microsoft 365 Copilot, ChatGPT Enterprise/OpenAI, Anthropic Claude, Gemini, or similar enterprise AI platforms. Experience supporting additional SaaS platforms such as Google Workspace, ServiceNow, Salesforce, or others. Experience supporting large-scale collaboration environments with a focus on operational improvement and governance. Salary 50,000 - 83,000 Euros 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.

Задачи: — Анализировать продуктовые метрики и поведение пользователей — Выявлять точки роста и оптимизации продукта — Подготавливать отчёты и презентации для команды Требования: — Опыт работы в продуктовой аналитике, предпочтительно в игровой индустрии — Уверенное владение инструментами аналитики и визуализации данных — Способность работать с большими объёмами данных Условия: — Удалённая работа или релокация на Кипр — Полная занятость — Работа в игровой компании

Задачи: — Сбор, анализ и формализация требований — Плотное взаимодействие с заказчиками, коммуникация — Поддержка и сопровождение на линиях L2/L3 — Работа с проектами DaaS, BI (опыт работы с такими проектами является плюсом) Условия: — Работа в офисе в Астане (приоритет) или Алматы — Стандартный график — Условия по рынку, обсуждаются после собеседования

Location: Yerevan, Armenia Description Senior Billing and Commercial analyst is responsible for tracking a company's financial performance against a plan, analyzing business performance and market conditions to create forecasts, and helping senior management make tactical and strategic decisions by providing periodic reports. Senior Billing and commercial analyst analyzes financial status by collecting, monitoring, and studying data. Gather and evaluate industry and economic fiscal data to predict investment performance. Responsibilities Create, improve, and use invoice calculation methodologies and models Communicating with Company’s Partners and other departments, resolving issues and providing clarifications Control of Company’s Services prices and costs Provide an effective currency management as well as to optimize the trading process for all foreign exchange transactions Collect data from different sources for analyzing Company’s Partners performance Compare and analyze actual results with plans and forecasts Establish and enforce policies and procedures, provide trends and forecasts, explain processes and techniques Analyze results, monitor variances, identify trends Analyze and interpret data and make comparative analyses, study proposed changes in methods and materials Develop automated reporting/forecasting tools Participate in new Partners contracts considering and approving process Maintain knowledge and keep abreast of new investment regulations or policies Protect operations by keeping financial information confidential Requirements Bachelor's degree in Finance, Accounting, or related field Working experience in data/business analysis Working experience with large databases Advanced knowledge of Excel and financial modeling Familiarity with BI and analytical tools (Power BI, MS Office, Analysis services, etc.) Knowledge of Python, SQL, VBA is a plus Excellent analytical, decision-making, and problem-solving skills Knowledge of English, Armenian, Russian Ability to streamline functions and passion to learn and grow Excellent communication and presentation skills, be comfortable interacting with executive-level management Comfort dealing with ambiguity and the ability to work independently Attention to detail

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index https://ramp.com/data/ai-index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian https://www.linkedin.com/in/akharazian/, lead economist. We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions. You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders. This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on. WHAT YOU NEED - 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects. - Strong perspectives on the economics of AI, economic policy, new media, and writing - Strong knowledge of SQL - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Active reader of the news in economics, business, and AI trends - An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data http://ramp.com/data ourselves) NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Experience within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice