AVP, Acquisition Fraud Strategy and Model Governance (L10)

Oversee performance monitoring and root cause analysis of fraud models used in acquisition fraud strategies, including developing remediation plans for deteriorating models.

Support evaluation, onboarding, and governance of new fraud models and tools across acquisitions, payments, and merchant underwriting.

Create documentation, playbooks, and enhanced reporting to ensure strategy alignment, regulatory compliance, audit readiness, and support executive communication.

Bachelor's degree in a quantitative field (Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 4 years' experience in building analytically derived strategies in Credit, Marketing, Risk, or Collections in Financial Services, OR 6+ years' relevant analytical/quantitative experience in consumer lending.

Minimum 4 years' experience working with statistical tools such as SAS, Python, Model Builder, Decision Tree, Knowledge Seeker, or others.

Work experience required: Minimum 4 years as above.

Work timings require availability from 06:00 AM to 11:30 AM Eastern Time for meetings, with overall shift 2:00 PM to 11:00 PM IST; flexible work location with occasional travel to regional hubs.

Experienced in strategic-level cross-functional collaboration with both onshore and offshore teams in credit or fraud strategy environments.

Strong analytical skills with a background in large dataset analysis, advanced data extraction, and application of advanced modeling techniques (decision trees, logistic regression) for fraud strategy development.

Familiar with model governance, validation processes, regulatory requirements, and Lines of Defense frameworks (2nd and 3rd line controls).