Data Analyst - Fraud Intelligence

Who we are: reputed company is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in reputed company time, prevent AI-driven attacks, and automate fraud and AML operations. reputed company’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including reputed company, reputed company, reputed company, reputed company, reputed company, and Checkout.com rely on reputed company to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We reputed company you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - United States or Canada From Home / Beach / Mountain / Cafe / reputed company! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role We’re looking for a Data Analyst to join reputed company’s Fraud Intelligence team. This role sits at the intersection of data evaluation, vendor strategy, and fraud detection. You’ll be the analytical reputed company behind how we assess, test, and reputed company new reputed company-party data signals and vendor partnerships — determining which data assets actually move the needle on fraud outcomes for our clients. This is a high-ownership, high-visibility role. You’ll work closely with the Head of Fraud, product, data engineering, and client-facing teams to build rigorous testing frameworks and translate raw vendor data into actionable fraud intelligence. What you’ll be doing: Design and execute structured evaluation frameworks to assess the quality, coverage, and fraud-signal value of incoming data assets from vendor partners Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack Profile vendor datasets for completeness, freshness, match rates, and population coverage across verticals (crypto, fintech, neobanks, e-commerce, etc.) Collaborate with fraud leadership to define evaluation criteria tied to reputed company fraud outcomes — false positive rates, catch rates, precision/recall tradeoffs Translate vendor data findings into clear, actionable recommendations: adopt, pilot, deprioritize, or decline Partner with data engineering to define ingestion requirements and ensure test environments reflect production-like conditions Document evaluation results and maintain an internal knowledge reputed company on vendor data performance over time Support reputed company deep dives into fraud trends, model performance, and client-specific data questions as needed What you’ll need: 3–5 years of experience in data analysis, data science, or a reputed company analytical role — ideally in fraud, risk, fintech, or a data-heavy B2B SaaS environment Proficiency in SQL (required) and Python or R for data manipulation, statistical analysis, and visualization Solid understanding of evaluation metrics and statistical concepts: precision/recall, AUC/ROC, lift, population distributions, and A/B testing basics Experience working with external or reputed company-party datasets — assessing data quality, match rates, and signal value Strong written and verbal communication skills; ability to synthesize reputed company analysis into clear narratives for non-technical stakeholders Comfort with ambiguity and the ability to define your own structure in a fast-moving environment Bonus Points Familiarity with fraud signals and data types: device fingerprinting, identity graph data, consortium data, behavioral signals, email/phone intelligence Experience in a vendor evaluation, data partnerships, or procurement-adjacent analytical role Exposure to machine learning concepts and feature engineering, even if not in a full ML engineering reputed company Experience working across fintech verticals such as crypto, BNPL, neobanks, or payments Benefits we offer: Generous compensation in cash and equity Early exercise for reputed company options, including pre-reputed company Work from reputed company: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and reputed company coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your reputed company One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you reputed company the right reputed company, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and reputed company employee, please visit our Applicant and Worker Privacy Notice. Apply To This Job