Fraud Risk Analyst

Role : Fraud Risk Analyst Location : San Jose, CA (5 days onsite) Job Description: • 3-5 years of experience in developing & deploying models specifically in Fintechs, Payments or Banking. Would prefer people with fraud modelling, Anomaly detection model development experience. • Strong problem-solving skills. Expert level python, SQL. MLE experience preferred. • Expert-level SQL (BigQuery strongly preferred); comfortable writing complex CTEs, window functions, dedup logic, and partition-filtered queries on large transactional tables. • Strong understanding of A/B testing and shadow testing frameworks for platform migrations or model deployments. • Proven ability to independently scope and deliver end-to-end data analyses with clear, actionable stakeholder deliverables. • Excellent communication skills - comfortable presenting complex findings to cross-functional teams and leadership. • Python proficiency for automation (pandas, openpyxl, ThreadPoolExecutor-based parallel query execution). • Experience with Tableau for risk/fraud KPI dashboards Preferred Skills • Exposure to model risk concepts: score values, data pipelines, velocity features. • Experience with rule-based risk systems and the ability to read, write, and debug rule logic (Pluto). We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf