Fraud Strategist

Responsibilities

• Fraud Strategy, Policy & Controls Support development and maintenance of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows.
• Help build and optimize controls for 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 strategy rationale, rule logic, expected impact, monitoring plans, policy considerations, change history, and recommended follow-up actions.
• Analytics, Data Science & Rule Performance
• Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction.
• Apply analytical and data science methods to support feature exploration, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring.
• Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.
• Operational Feedback & Cross-Functional Execution
• Partner with Onboarding Risk Operations and Risk Monitoring Operations to incorporate case outcomes, queue trends, investigator feedback, alert quality, and operational pain points into strategy improvements.
• Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation.
• Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring.
• Provide concise 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 related technical risk function.
• Mandatory SQL experience, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud strategy development.
• Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods used in fraud or risk decisioning.
• Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders.
• Bachelor’s degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience.
• Strong analytical curiosity and ability to connect fraud signals across disconnected tools, imperfect data, and evolving processes.
• Ability to translate data findings into clear fraud strategy recommendations, rule changes, control improvements, and policy considerations.
• Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior.
• Ability to evaluate fraud strategies using metrics such as loss exposure, fraud capture, precision, false positives, customer friction, queue impact, and post-launch performance trends.
• Strong written and verbal communication skills, including the ability to summarize technical findings for fraud, product, operations, data science, and leadership audiences.
• High ownership, sound judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational capacity, compliance considerations, and business growth.

Pay

Pay Range: USD $77,700.00 - USD $132,300.00 /Yr.