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Salary
≈ $71k – $183k per year (Estimated)
Location
Remote (United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match

Join Splitit as the Manager of Portfolio & Fraud Analytics, where you will play a crucial role in launching and scaling a new installment credit card business. You will monitor business performance, identify emerging risks and opportunities, and translate data into actionable recommendations. This hands-on role combines broad portfolio analytics with fraud monitoring and partner reporting. You will help build the program's monitoring, fraud operations, and reporting from the ground up, and provide insights to leadership on business performance and recommendations for improvement.

Missions

  • Monitor business performance, identify emerging risks and opportunities, and translate data into actionable recommendations.
  • Lead monthly performance reviews, establish a disciplined approach to ongoing program monitoring, and recommend actions to improve business outcomes.
  • Monitor the performance of automated origination fraud and verification rules, trace confirmed fraud, and recommend and test rule adjustments.

Profil recherché

- Deep experience in either portfolio performance or fraud (ideally including fraud rule tuning and bust-out detection), plus enough working knowledge of the other to learn quickly

- Comfortable with business intelligence and reporting tools such as Tableau and Excel

- Able to present complex findings clearly to senior leadership and external partners

- Entrepreneurial, detail-oriented, and comfortable building processes in a growing business

- 5+ years in credit card or consumer lending, in portfolio analytics, credit risk, fraud, or a related role, with a working understanding of how credit portfolios perform (originations, delinquency, losses, profitability)

- Actively using AI tools to speed up analysis, investigate performance drivers, and improve decision-making and operational efficiency

- Strong analytical and problem-solving skills, with a track record of turning findings into clear business recommendations

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