AVP, Acquisition Fraud Strategy and Model Monitoring

Role Summary

The AVP, Acquisition Fraud Strategy and Model Monitoring is a multi‑functional role within the credit fraud acquisitions strategy team. The primary responsibilities include overseeing the performance of fraud models, conducting in‑depth data analytics to identify model performance issues, developing action plans for deteriorating models, supporting the evaluation of new fraud models and tools, coordinating model roll‑outs, and creating enhanced ongoing monitoring reporting.

The position reports to the VP of Acquisition Fraud Strategy.

• Conduct deep dives and root‑cause analysis on deteriorating models to identify underlying issues
• Develop tactical and strategic action plans to address model performance issues
• Author narratives for ongoing model monitoring executive summaries, explaining technical concepts in language understandable to non‑technical audiences
• Document the strategy team’s model development process to ensure consistency, transparency, and alignment with organizational goals
• Create enhanced reporting to support fraud model performance monitoring
• Work cross‑functionally with fraud strategy leads to support analytics of fraud strategies and models
• Collaborate with the implementation team to meet Acquisition Fraud Strategic goals and remove obstacles
• Validate model implementations and ensure strategies use the best available tools and scores
• Evaluate new fraud models and tools for acquisition, payments, and merchant underwriting
• Assist fraud strategy leads with analytics and strategy development as time permits
• Partner with advanced modeling teams to drive targeting and treatment solutions that meet business objectives
• Collaborate with 2nd/3rd line to maintain strong governance, safety, and soundness of strategies, supporting regulatory requests, internal reviews, audits, and business continuity planning
• Work with portfolio credit managers and client teams to launch new initiatives, communicate changes, and ensure desired P&L impacts
• Coordinate with compliance, legal, fair lending, and audit teams as required
• Perform ad‑hoc analytics, validations, and remediations as required
• Perform other duties and/or special projects as assigned

• Minimum bachelor’s degree and 5+ years of experience building analytically derived strategies within Credit, Marketing, Risk, or Collections in financial services, or 9+ years of experience without a bachelor’s degree in similar areas
• At least 3 years of experience using statistical tools such as SAS, Python, or Tableau
• Expert level proficiency with Excel
• At least 3 years of experience in retail, business, installment loans, or private label credit
• Excellent temperament, ability to work through uncertainty, collaborate respectfully across functions, and find solutions to issues
• Ability and flexibility to travel for business as required

• Experience operating at a strategic level as part of a cross‑functional team
• Advanced technical and analytical competencies for driving effective strategic goals within a significant functional area
• Strong understanding of the consumer credit lending lifecycle and card programs
• Deep knowledge of fraud models and their application in fraud strategies
• Familiarity with model evaluation metrics such as precision, recall, and F1 score
• Experience with modeling approaches such as logistic regression and tree ensembles
• Understanding of the lines of defense: 2nd line strategic validation and 3rd line internal audit
• Excellent oral and written communication skills with impact and influence
• Capacity to multi‑task and perform in a fast‑paced environment
• Experience working with offshore teams
• Demonstrated ability to manage multiple projects, organize workflow and timelines
• Master’s degree or MBA with an advanced analytic focus, or an equivalent advanced degree

The salary range for this position is $ – $ USD annually, with eligibility for an annual bonus based on individual and company performance. Salaries are adjusted according to market in CA, NY Metro, and Seattle.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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