Overview
This role is part of a collaborative, high-visibility team responsible for credit risk management across HELOC and secured lending portfolios. You will use analytics and alternative data to translate customer insights into underwriting and portfolio strategies, partnering across Capital Markets, Product, Engineering, Servicing, and Compliance to ensure portfolio health while supporting growth.
Responsibilities
- Continuously refine and modernize credit underwriting strategies using advanced analytics to improve risk decisions across lending products.
- Analyze historical loan performance to model credit expansion initiatives, identify new customer segments, and optimize funnel conversion.
- Perform root-cause analysis on credit losses and default trends, partnering with Fraud Risk Management to strengthen fraud controls.
- Develop valuation models to estimate segment-level economics and advise Capital Markets on yield projections and performance assumptions.
- Partner with Product, Engineering, and Data Science to design A/B tests balancing risk control, conversion lift, and user experience.
- Track and validate pre- and post-implementation performance for deployed credit and fraud rule changes.
- Design monitoring frameworks to track new product launches at a granular segment level, identify emerging portfolio risks, and inform executive decision-making.
- Present underwriting methodology to investors and serve as a core point of contact for due diligence and portfolio performance inquiries.
- Collaborate with Legal and Compliance to ensure credit strategies meet regulatory requirements.
- Conduct ad hoc quantitative analyses supporting broader Credit, Operations, and Product objectives.
Requirements
- Bachelor’s or Master’s degree with a quantitative background (e.g., Statistics, Math, Economics, Computer Science, Engineering, or Business).
- 5+ years in credit risk management or data science within consumer lending.
- Ability to thrive in a fast-moving environment where priorities and initiatives shift quickly.
- Self-driven, results-oriented approach with strong curiosity and a demonstrated track record of probing root causes, challenging the status quo, and creating non-traditional solutions.
- Strong analytical and problem-solving skills, with solid business judgment.
- Clear communication skills with the ability to translate complex data into actionable insights for varied audiences.
- Strong team collaboration skills, including comfort interacting with cross-functional partners at different levels of seniority.
- Advanced proficiency in SQL and Python/R for independently pulling, cleaning, and modeling complex relational data.
- Practical experience with predictive modeling, customer segmentation, and statistical procedures to evaluate risk and borrower behavior.
- Experience with Tableau, Power BI, and Looker.
- Adhere to all security policies and data handling procedures, including completing mandatory security awareness training within required timeframes.
- Promptly report suspected security incidents or suspicious activity to the Security team.
Compensation & Benefits
- Base compensation range: $134,640 - $201,960/yr
- 25% annual bonus target, paid quarterly
- Company equity in the form of RSUs
- Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
- Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
- Employer-paid life and disability insurance
- 11 observed holidays and PTO plan
- Up to 12 weeks of paid family leave
- Continuing education reimbursement
Location
United States
Work Authorization
This position will not sponsor work visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.