Fraud Risk Management Lead

📋 Description

• Examine data from new applicants to facilitate both automated and manual credit decision-making.

• Collaborate with data obtained from business financial statements, tax records, and banking integrations.

• Utilize insights from related product usage to assess risk profiles.

• Create dashboards or tools that provide real-time indicators for underwriting and fraud detection.

• Observe account-level behavior following origination, including spending and payment patterns, credit utilization, and engagement.

• Detect signs of declining creditworthiness using internal data alongside third-party credit reports.

• Monitor and evaluate delinquency trends and payment reliability to enhance risk models and collections strategies.

• Contribute to the P&L analysis of the unsecured credit card product, encompassing interchange income, interest revenue, rewards costs, and charge-off rates.

• Develop models to assess customer lifetime value, profitability segmentation, and risk-adjusted returns.

• Aid in identifying factors contributing to losses and opportunities for margin enhancement.

⛳️ Requirements

• 5–15 years of practical experience in fraud risk management with direct responsibility for detection and loss management in consumer and small business products.

• Extensive subject matter knowledge across all three fraud categories — first-party, third-party, and synthetic identity.

• Proficient in the fraud signal stack, including device fingerprinting, IP intelligence, identity graph analysis, behavioral biometrics, velocity rules, and machine learning-based anomaly detection.

• Comprehends DDA fraud vectors at a product level: ACH origination and return abuse, check fraud, Reg E dispute dynamics, and the intersection of payment fraud with account takeover.

• Analytically self-sufficient: skilled in SQL and Python or R.

• Knowledgeable about the regulatory and compliance landscape regarding fraud, including SAR filing thresholds, Reg E responsibilities, FCRA implications for adverse actions, and BSA/AML red flags that coincide with fraud patterns.

• Operates at a senior analytical level compared to peers.

• Naturally thinks from the perspective of an adversary: conceptualizes how a malicious actor could exploit a product, policy gap, or verification flaw.

• Possesses a strong quantitative aptitude and an intuitive sense for identifying when loss or dispute trends seem suspicious.

• Energetic, end-to-end owner who excels in environments where detection infrastructure is still under development and the threat landscape is continuously changing.

• Effective communicator capable of translating complex fraud dynamics — such as ring structures, synthetic identity clusters, and bust-out cohorts — into clear narratives for risk committees, product teams, and senior leadership.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement plan options with company matching contributions.

• Flexible work environment with opportunities for remote work.

• Professional development programs and training opportunities.