PatientFi

Senior/Lead Credit Strategy Analyst

PatientFi

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

Visit company website

Explore more

AI Apply
Apply

Job Level

Tech Stack

About the role

  • Own the design, implementation, and ongoing optimization of PatientFi’s risk-based pricing framework.
  • Develop and refine pricing tiers, APR bands, and credit limit structures that accurately reflect borrower risk profiles, maximize risk-adjusted net interest margin (NIM), and remain competitive within our market.
  • Leverage comprehensive unit economics models—including loss-adjusted return, net yield, and other profitability measures—at the segment, vintage, and product level.
  • Translate portfolio performance data into actionable pricing and credit policy changes that improve overall portfolio performance.
  • Serve as the primary owner of portfolio profitability reporting.
  • Proactively track vintage performance, delinquency trends, prepayment behavior, and net charge-off trajectories to identify pricing dislocations and risk-adjusted return opportunities.
  • Lead preparation of monthly and quarterly credit risk and profitability evaluations for senior leadership.
  • Partner closely with Data Science, Finance, Product, and Sales teams to align pricing strategy with funding costs and growth objectives.
  • Ensure all pricing strategies and underwriting decisions adhere to PatientFi’s internal credit policies and applicable state and federal regulations, including FCRA, ECOA/Reg B, UDAAP, and TILA/Reg Z.

Requirements

  • 5–8 years of experience in consumer credit risk, pricing strategy, risk-based pricing, or portfolio analytics within a financial services or fintech environment, with demonstrated ownership of profitability-focused initiatives.
  • Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
  • Advanced degree (MBA, MS in a quantitative discipline) a plus.
  • Experience designing and optimizing risk-based pricing frameworks for consumer credit products.
  • Proven ability to connect credit risk parameters to pricing outputs, net yield targets, and economic outcomes.
  • Proficiency in SQL, SAS, and/or Python for large-scale data analysis and model development.
  • Strong command of Google and/or Microsoft business suite (Sheets/Excel/PowerPoint) for financial modeling and executive presentations.
  • Strong working knowledge of US consumer lending regulations including FCRA, ECOA/Reg B, UDAAP, and TILA/Reg Z, with particular sensitivity to fair lending implications of pricing strategies.
  • Proven ability to synthesize complex pricing and profitability analyses into clear narratives for senior leadership and cross-functional stakeholders across all levels of the business.
  • Comfortable presenting in business reviews and influencing strategic decisions with data.
Benefits
  • Medical, dental, and vision premiums covered at 80% for employees and dependents
  • Unlimited PTO
  • 401(k)
  • Parental leave
  • AD&D policy provided at no cost to employees
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
risk-based pricingportfolio analyticsprofitability analysiscredit risk parametersdata analysismodel developmentfinancial modelingpricing strategyunit economics modelscredit policy changes
Soft Skills
communicationleadershipcollaborationpresentationanalytical thinkingproblem-solvinginfluencingsynthesis of complex informationstrategic decision-makingcross-functional teamwork
Certifications
Bachelor’s degree in FinanceBachelor’s degree in EconomicsBachelor’s degree in StatisticsBachelor’s degree in MathematicsMBAMS in a quantitative discipline