AVP, Credit Acquisition Strategy — Remote-Eligible

Synchrony; Florida; Hybrid; USD 115,000 - 200,000; Full time

Job summary

Synchrony is seeking an AVP Acquisition Credit Strategy to develop, implement, and monitor credit acquisition strategies across multiple clients. You will use advanced analytics to craft risk-aware approaches, validate strategies, and partner with client teams to tailor solutions that balance growth with risk controls.

The role requires a quantitative degree or equivalent analytics experience, with 3+ years in credit/fraud analytics and proficiency in SAS, Python, or SQL.

Qualifications

• Bachelor's Degree in Economics, Mathematics, Physics, Statistics, or other quantitative field; or 6+ years analytics experience in credit/fraud.
• 3+ years’ analytics experience in credit or fraud in financial services.
• 1+ year experience with data tools such as SAS, Python and/or SQL.
• 1+ year experience with Excel, ideally using pivot tables, macros, etc.
• Ability and flexibility to travel for business as required.

Responsibilities

• Develop, implement and monitor new account credit strategies for profitable growth within risk appetite.
• Create strategies to minimize Synchrony and partner risks while balancing risk-reward.
• Use advanced analytics to build/validate/implement credit risk strategies and monitor key metrics.
• Drive enhanced strategies using champion/challenger learnings.
• Collaborate with client teams to tailor strategies to needs and opportunities.
• Communicate strategy recommendations clearly in meetings and document results.
• Support implementation with validation post-launch and audit readiness.
• May perform other duties or special projects as assigned.

Skills

Analytics in credit

SAS/Python/SQL

Excel advanced

Communication

Education

Bachelor's degree in economics or quantitative field

Tools

SAS

Python

SQL

Excel

Job description

Synchrony is seeking an AVP Acquisition Credit Strategy to develop, implement, and monitor credit acquisition strategies across multiple clients. You will use advanced analytics to craft risk-aware approaches, validate strategies, and partner with client teams to tailor solutions that balance growth with risk controls.

The role requires a quantitative degree or equivalent analytics experience, with 3+ years in credit/fraud analytics and proficiency in SAS, Python, or SQL.