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AVP, Transactional Fraud Strategy

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Synchrony
Full Time position
Listed on 2026-05-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Role Summary

As an AVP, on the Fraud Prevention Strategy team, this role will have the opportunity to work on major business initiatives that contribute to Synchrony’s growth and productivity objectives. This role works directly with the business in catering to its end-to-end analytical needs and will have the opportunity to work with cross-functional teams as well as leverage state of the art tools (viz.,

SAS, Python, SAS Enterprise Miner, SAS Viya, SAS Studio, Model builder suite of products), and manage projects. This role will set and drive transactional fraud loss mitigating strategies that meet the company’s strategic vision of leveraging existing and incremental data and advanced analytics to improve the customer experience and improve P&L performance. This role is accountable for balancing fraud loss mitigation with customer experience and portfolio performance, using disciplined monitoring, testing, and rapid response to emerging fraud attacks.

Essential

Responsibilities
  • 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).
  • Perform other duties and/or special projects as assigned.
Qualifications / 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
Desired Characteristics
  • Degree in Economics, Finance, Mathematics, Data Science, Computer Science, Analytics, or Statistics strongly preferred
  • Minimum 2 years of experience with operational and regulatory risk, and governance
  • Superb communication skills and experience with interacting successfully at all levels within the RCF organization
  • Ability to multitask and perform in a fast-paced environment
  • Demonstrated problem solving and critical…
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