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 are to oversee fraud model performance, conduct in‑depth data analytics to identify underlying issues, and develop action plans for deteriorating models. The role collaborates closely with Acquisition Fraud Strategy Model Developers, the Credit Strategy Validation team, and implementation teams to create remediation plans, evaluate new fraud models and tools, coordinate model roll‑outs, and support enhanced ongoing monitoring reporting.

Responsibilities

• Conduct deep dives and root‑cause analysis on deteriorating models.
• Develop tactical and strategic action plans to address model performance issues.
• Author narratives for ongoing model‑monitoring executive summaries, translating technical concepts into clear language.
• Create detailed documentation to support the strategy team’s model development process.
• Develop 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 achieve Acquisition Fraud Strategic goals and remove obstacles.
• Perform model implementation validations and recommend the best available tools and scores.
• Support evaluation of new fraud models and tools for acquisitions, payments, and merchant underwriting.
• Partner with advanced modeling teams to drive targeting/treatment solutions aligned with business objectives.
• Collaborate with 2nd/3rd line governance, security, and audit to ensure strong governance and comply with regulatory requests.
• Partner with portfolio credit managers and client teams to launch initiatives and communicate changes promptly.
• Assist compliance, legal, fair lending, and audit teams as required.
• Execute ad hoc analytics, validations, and remediations as needed.
• Perform additional duties or special projects when assigned.

Qualifications

• Bachelor’s degree and 5+ years of experience building analytically derived strategies in Credit, Marketing, Risk or Collections in financial services; or 9+ years in lieu of a bachelor’s degree.
• 3+ years of experience with statistical tools such as SAS, Python, Tableau.
• Expert level proficiency with Excel.
• 3+ years of experience in retail, business, installment loans, or private‑label credit.
• Excellent temperament and ability to work through uncertainty, collaborate respectfully across teams, and find solutions.
• Ability and flexibility to travel for business as required.

Desired Characteristics

• Experience operating at a strategic level as part of a cross‑functional team.
• Advanced technical and analytical competencies to drive strategic goals in a significant functional area.
• Strong understanding of the consumer credit lending lifecycle and card programs.
• Deep understanding of fraud models and their use within fraud strategies.
• Knowledge of model evaluation metrics such as precision, recall, and F1.
• Familiarity with modeling approaches such as logistic regression and tree ensembles.
• Understanding of the Lines of Defense (2nd and 3rd line).
• Excellent oral and written communication skills with influence.
• Ability to multi‑task and perform in a fast‑paced environment.
• Experience working with offshore teams.
• Proven ability to manage multiple projects, organize workflows, and meet timelines.
• Master’s degree or MBA with advanced analytic focus, or equivalent advanced degree.

Benefits

Salary range: $115,000 – $200,000 USD annually, with eligibility for an annual bonus based on individual and company performance. Compensation is adjusted based on market in CA, NY Metro, and Seattle.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic. We are committed to creating an inclusive culture and diversity in the workplace.

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