Fraud Strategy Analyst

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 for onboarding and monitoring workflows.

• 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, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies.

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

• Utilize SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and analyze loss exposure, operational impact, and customer friction.

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

• Work alongside Onboarding Risk Operations and Risk Monitoring Operations to integrate case outcomes, queue trends, investigator feedback, alert quality, and operational challenges into strategic enhancements.

• Analyze themes from Trust and Safety escalations to pinpoint control gaps, recurring fraud signals, product or process vulnerabilities, or policy adjustments that require sustainable remediation.

• Partner with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring.

• Deliver succinct updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false positive impact, and recommended actions to fraud leadership and cross-functional stakeholders.

⛳️ Requirements

• 3-5 years of full-time 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 required.

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

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

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

🏝️ Benefits

• Health insurance

• Paid time off

• Retirement plans