Fraud Strategist

This is a fully remote position, open to applicants in Texas.

📋 Description

• Assist in the development and upkeep of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation throughout onboarding and monitoring processes.

• Contribute to the creation and enhancement of controls for various fraud types including payment fraud, onboarding risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity fraud, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies.

• Record the rationale behind strategies, rule logic, anticipated impacts, monitoring plans, policy considerations, change history, and suggested follow-up actions.

• Utilize SQL to independently extract data, validate hypotheses, identify patterns of fraud, assess false positives, and evaluate loss exposure, operational impacts, and customer friction.

• Employ analytical and data science techniques to aid in feature exploration, segmentation, model output assessment, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring.

• Collaborate with Risk Data Science & Analytics to convert dashboards, models, features, risk scores, and analytical insights into actionable fraud decision strategies and operational controls.

⛳️ Requirements

• 3-5 years of professional experience in fraud strategy, fraud analytics, payments risk, data science, financial crime, risk operations strategy, or a similar technical risk role.

• Proficiency in SQL is essential, with the capability to independently query data, validate hypotheses, evaluate rule or control performance, and support the development of fraud strategies.

• Familiarity with data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods applicable to fraud or risk decision-making.

• Experience collaborating with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations teams.

• A Bachelor’s degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or a related field, or equivalent hands-on experience.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development