Вакансии

· Разработка и совершенствование моделей: Проектирование,. оценка и постоянное улучшение прогнозных моделей для выявления рисков,.

• Взаимодействие с data scientists, инженерами, аналитиками и бизнес-стейкхолдерами. • Коммерческий опыт в ML/ML Engineering от 3 лет, уровень Middle+ / Senior.

• Стратегия развития талантов: Синхронизация планов обучения и развития сотрудников со стратегической картой развития продуктов Koz AI. • Адаптация (Онбординг): Выстраивание быстрого и бесшовного вывода IT-специалистов на проектную мощность (сокращение Time to Productivity).

The Opportunity: As a Front-End Engineering Manager at Agoda, you will lead a team of talented engineers building scalable, high-performance web applications that power user experiences at global scale. In this Role, you’ll get to: Lead a team of engineers building scalable, reliable, and user-friendly web applications and product experiences.

The Senior AI Professional will help design, develop, and optimize production-grade agentic AI solutions. Design, develop, and optimize production-grade agentic AI solutions.

-Активный поиск (сорсинг) IT-кандидатов по сложным запросам разработчиков, DevOps, Data Scientists, QA и других специалистов. -Работа с международными площадками: LinkedIn (включая X-Ray search), GitHub, Stack Overflow, Telegram-чаты, специализированные англоязычные форумы.

Location: Paris Workplace: OnSite 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 impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts. ROLE We are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead. - Drive and own product vision, strategy and roadmap, guide feature prioritization and scope. - Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team. - Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback. - Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech. - Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking. - Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing. - Support the tech team by identifying new organizational tools and processes to improve efficiency. - Act as the main point of contact for top management on deliveries and decisions - Apply analytical thinking to continuously evaluate and improve product performance PROFILE - Extensive proven experience as a Product Manager in the tech industry - Data analyst or Data Scientist background is a strong plus - Value-driven, data-driven, and open-minded problem solver - Great communicator and a team player, who likes to drive results together. - You are fluent in English and have a French conversational level. - Interest in gaming and mobile apps BENEFITS - Competitive salary upon experience - Swile Lunch vouchers - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Flexible vacation policy - Remote days

About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

- Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation;

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE INSURANCE TEAM ⭐️ Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation. - We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance. - We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price. - We build and manage offers for large companies and public institutions with our sales and account management teams. - We make sure our portfolio is closely monitored and risks are effectively managed. - We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators. ⭐️ YOUR ROLE ⭐️ ️ As Alan’s Risk Expert, you will be in charge of providing Alan with automated and scalable risk assessment tools: - Risk modeling - You will be in charge of strengthening and automating the building our Solvency 2 balance sheet and capital requirements projections, covering both health, death and disability business lines - You will model new risks when they arise (new insurance products, branches, international, investment etc.) - You will challenge our risk appetite, propose new relevant risk metrics and build tools to monitor them - You will support the board meetings preparation and communication with investors regarding capital evolution and market risks - Regulatory - You will scale and automate the production of our regulatory quantitative reporting and contribute to our narrative (SFCR, RSR) and ORSA reports - You will support our discussions with supervisors - You will assist the assessment of international opportunities and help prepare the opening of new countries - Capital management - You will make proposals to improve our capital management in the 4 countries Alan is present - You will manage our reinsurance strategy, to find an optimum between solvency and profitability, negotiating with reinsurance partners, and analyze reinsurance reporting - Team Growth - You will create processes and resources to strengthen the team’s ability to understand our risk and capital constraints - You will support the identification and hiring of new talents for the Insurance and Risk teams. ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️ You would thrive in this role if you: - Have at last 5 years of experience in Solvency 2 regulatory framework, especially for S2 accounting, with knowledge of Health, Life and Market risks as a bonus - Are fluent in English and in French for regulatory interactions - Possess excellent problem-solving and analytical skills, including data analysis capabilities - Can automate processes and build new tools, with programming skills being a plus - Bring rigor and reliability to reporting production while working independently in a fast-paced environment - Have strong communication skills for effective interaction with internal and external stakeholders - Are confident learning new tools, technologies, and methodologies with creative problem-solving approaches For this position, we are looking to hire someone within the C1-E level. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - ****it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: New York, NY (HQ); San Francisco, CA Workplace: OnSite 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  As a Product Manager, Growth at Ramp, you’ll drive acquisition, activation, retention, and monetization across our product suite. You’ll identify opportunities to help more businesses discover Ramp, get value from our products, and expand their usage over time. You’ll work closely with engineers, designers, marketers, and data scientists to develop and execute a growth strategy grounded in customer insight and experimentation. Your scope will include core product experiences and partner-led growth channels, with ownership from identifying an opportunity through launching, measuring, and scaling solutions. You’ll identify opportunities to use AI to help businesses discover relevant Ramp products, reach value faster, and expand their usage over time. You’ll balance rapid experimentation with the accuracy, transparency, and customer trust required when building financial products. Please note that this Product Management role will require you to be comfortable with working in-person at one of our NYC or SF offices at least 2 days/week WHAT YOU’LL DO - Develop and execute a growth product strategy across acquisition, activation, retention, and monetization, helping businesses get more value from Ramp - Own the roadmap, priorities, and execution for a defined growth surface area, from identifying opportunities through launching, measuring, and scaling solutions - Lead the ideation, development, and launch of growth experiences, including AI-powered approaches to onboarding, product discovery, recommendations, and cross-sell - Partner with engineering, design, marketing, and data science to deliver high-impact initiatives across core product experiences and partner-led growth channels - Conduct customer research and analyze product metrics and feedback to understand where finance teams encounter friction and identify opportunities to improve adoption - Define and track growth KPIs, design controlled experiments where feasible, and use results to distinguish incremental impact from underlying trends - Evaluate AI-powered experiences for both growth impact and quality, including accuracy, relevance, and reliability; balance rapid iteration with safeguards for sensitive financial data, transparency, and customer control - Turn successful experiments into durable product improvements and contribute to the practices that help Ramp’s product management function scale WHAT YOU NEED - BA/BS in mathematics, technical, or analytical field - Minimum 4 years of product management experience, building technical products from ideation to launch - Data-Driven Mindset – Fluency in crafting data-driven narratives. You enjoy writing SQL to answer your own questions and thrive on leveraging data to shape and communicate a strategic vision. - Slope - We value slope over intercept; We’re looking for a high-growth team member who can be a future leader at Ramp - Leadership & Collaboration – Proven ability to build alignment across cross-functional teams, inspire stakeholders, and lead initiatives from strategy through execution. - Passion for AI, shown through hands-on building, prototyping, or side projects, and staying current on research and tools. - Fluency with modern prototyping tools (e.g. Cursor, Codex, Claude Code) and comfort with design/collaboration environments like Figma and Git. 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

-управлять командой, состоящей из DS, DE, MLOps. -соблюдать требования и стандарты производственного процесса банка.

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 impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide. Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation. Within Helix, you’ll join the AdExperience squad—a focused team of Senior Product Managers, QA/Release Engineers, and five exceptional Senior Engineers specialized in backend and mobile SDK development. Together, you will push the boundaries of iOS SDK architecture and champion modern, agentic AI workflows to set new industry standards. ROLE We’re looking for a visionary and talented Senior iOS Engineer to join our dynamic, passionate, and committed to excellence team at the forefront of advertising technology! As a Senior iOS Engineer, you will drive the development of cutting-edge SDKs, influencing the experience of millions of users across diverse devices. A pivotal member of our engineering team, you will help shape the direction of our iOS technical efforts while serving as a high-impact, hands-on individual contributor. - Technical Vision & Code Standards: Guide the technical direction for our iOS projects. Drive innovation, establish architectural best practices, and ensure the highest standards of code craftsmanship across our codebase. - AI Usage & Agentic Workflows: Raise the bar in AI adoption across the team—actively integrating agentic workflows, LLMs, and AI-driven automation tools to solve complex challenges and elevate developer productivity. - Code Excellence: Craft robust, maintainable, and high-performance code that sets industry benchmarks as a senior hands-on individual contributor. - Collaborative Code Reviews: Actively participate in thorough code reviews, fostering a culture of continuous technical improvement and knowledge sharing within the engineering team. - Architectural Decisions: Make critical decisions regarding the architecture and technical stack of our iOS SDKs and applications to ensure long-term stability and scalability. - Quality Assurance: Guarantee the enduring quality and reliability of our iOS projects through rigorous testing, performance profiling, and continuous integration practices. PROFILE - 6/7+ years of experience in mobile software development. - 5 years minimum in Swift. - Strong proficiency and proactive mindset towards leveraging AI technologies (e.g., agentic AI, LLMs, AI coding assistants) to enhance software development efficiency and code quality. - Excellent problem-solving, critical thinking, and communication skills. - Demonstrated ability to make critical technical decisions independently. - Extensive experience in writing robust, maintainable, and high-performance Swift code. - Writing efficient unit tests, integration tests, and UI tests. - In-depth knowledge of iOS development tools, frameworks (SwiftUI, Combine, and CoreData), and best practices (MVVM, Protocols, Delegates). - Excellent level of spoken English. NICE TO HAVE - Previous experience in the AdTech industry or in mobile ads integration. - Experience with SDK development and a deep understanding of the challenges and opportunities in this space. - Experience in Objective-C, Kotlin, Node. - Practical experience setting up or customizing AI developer agents and automated AI workflows. - Experience in optimizing App performance, reducing memory footprint, and decreasing package size. - Experience in deploying iOS frameworks on CocoaPods. - Experience in deploying iOS applications with CircleCI and Fastlane. - Working knowledge of remote APIs, concurrency, layouts, transitions, animations. OUR STACK ⧫ Xcode ⧫ Swift ⧫ Objective-C ⧫ SwiftUI ⧫ Combine ⧫ CoreData ⧫ GitHub ⧫ CocoaPods ⧫ CircleCI ⧫ AWS ⧫ AI Coding Tools & Agentic Workflows 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

Задачи: — участие в долгосрочном проекте по обезличиванию данных в формате ИП Требования: — опыт работы от 3 лет в роли ML-инженера / Data Scientist — опыт разработки и внедрения ML-моделей в продакшен — знание Python, pandas, numpy, scikit-learn — опыт работы с NLP-инструментами: SpaCy, Hugging Face Transformers — практический опыт построения пайплайнов обработки неструктурированных данных — очистка, нормализация, feature engineering — извлечение сущностей (NER) — понимание и опыт применения деревьев решений и ансамблей (Random Forest) — умение интерпретировать результаты, подбирать гиперпараметры, оценивать риски переобучения — опыт работы с CTGAN и TVAE (библиотека SDV или аналоги): обучение, подбор гиперпараметров — проведение privacy-проверок — контейнеризация (Docker) — развертывание моделей через API (FastAPI/Flask) — версионирование моделей и данных (MLflow/DVC) — понимание CI/CD-процессов Условия: — формат сотрудничества: ИП — тип занятости: долгосрочный проект

По сотрудничеству в формате ИП ищем на проект ML-инженера (проект по обезличиванию данных), проект долгосрочный. -Опыт работы от 3 лет в роли ML-инженера / Data Scientist.

Собирать и формализовать требования от бизнеса, Product Owner и стейкхолдеров: интервью, воркшопы, рабочие сессии с пользователями; Описывать бизнес-процессы as-is / to-be (BPMN, UML), находить неявные требования и граничные сценарии;

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth