AVP, Transactional Fraud Strategy

Role Overview

• Develop and support best-in-class analytic solutions/algorithms for Fraud Prevention Strategy team (Transactional Fraud).
• Design, implement, and optimize transaction monitoring strategies (e.g., rules/controls, thresholds, segmentation) to improve fraud capture while minimizing customer friction and protecting approval rates.
• Identify, quantify, and communicate key fraud trends and emerging attack patterns using advanced analytics; partner with stakeholders to deploy mitigation strategies and compensating controls.
• Own end-to-end strategy lifecycle management (ideation → analysis → testing/validation → implementation → monitoring), managing multiple projects/priorities independently.
• Establish and maintain strategy performance monitoring and reporting (e.g., fraud loss rate, approval rate impact, false positive rate, decline accuracy, alert yield, operational throughput as applicable); deliver regular readouts to leadership.
• Execute champion/challenger testing (A/B tests) and iterative tuning; document results and recommend rollouts/scale-back based on measured impact.
• Drive enhancements that differentiate fraud loss mitigation strategies across strategic portfolio segments, leveraging unique risk/customer behaviors and incremental data signals.
• Work with finance and PCM teams to ensure strategies are driving the desired P & L impacts.
• Partner closely with Fraud Operations to align strategies to queue design/alert logic and operating procedures; identify opportunities to reduce manual review and improve decision quality.
• Provide swift actions to combat immediate fraud attacks (triage, containment, and stakeholder updates) and conduct post-mortems to implement durable preventative controls.
• Support strategy governance, including change control, monitoring documentation, and audit readiness (in partnership with risk/compliance as applicable).

Requirements

• Bachelor’s degree and minimum 4 years’ experience (or in lieu of a degree, 8 years’ experience) in retail, business or private label credit
• Minimum 3 years’ experience in Strategy Development
• Demonstrated expert proficiency with SAS and/or SQL programming especially data extractions and ensuring data quality
• Demonstrated ability to measure and optimize fraud strategies using performance metrics (fraud capture/loss reduction, false positives, approval rate/customer impact).
• Experience working with large datasets and building analytical features/aggregations to identify fraud patterns and monitor strategy performance.
• Experience with experimentation (e.g., champion/challenger, A/B testing) and translating results into production strategy changes (preferred).
• High proficiency with Excel.

Tech Stack

• SQL
• Swift

Benefits

• Flexible work arrangements
• Professional development
• Annual bonus based on performance