Requirements
- Bachelor’s degree in Finance, Economics, or a related field (implied by role).
- 3+ years of experience in financial analysis, credit analytics, or capital markets operations required.
- Direct experience with unsecured consumer lending performance analytics (DQ buckets, roll rates, vintage tracking) required.
- Advanced proficiency in Excel/Google Sheets for structured models and sensitivity tables.
- Proficiency in SQL for data pulls, transformations, and reproducibility.
- Strong cross-functional project management skills and experience building controls like reconciliation checklists.
- Clear communicator able to present and write in a way that lenders and internal executives can trust.
- Strong analytical judgment to isolate drivers, quantify impact, and make actionable recommendations.
- High level of accuracy with a focus on tight tie-outs and low error rates.
Nice to Have
- Experience in fintech, specialty finance, or consumer lending strongly preferred.
- Experience with Looker/BI dashboards or Python/R for automation is a plus.
Additional Information
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to communicate effectively via video conferencing and utilize digital collaboration tools for prolonged periods.
