Credit Risk Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate the effectiveness of credit policies by analyzing approval rates, decision distributions, and cutoff efficiency.

• Assist in the assessment of credit strategy metrics and tiering approaches.

• Oversee automated decisioning rules and pinpoint opportunities for enhancement.

• Offer analytical support for modifications in policies, limit changes, and refinements in offer structures.

• Generate recurring reports on credit performance across various segments, tiers, and vintages.

• Monitor origination quality metrics, early payment defaults, and delinquency emergence by cohort.

• Examine credit attribute distributions, score migrations, and performance against expectations.

• Maintain dashboards and scorecards that facilitate internal decision-making and reporting for investors and capital partners.

• Model trade-offs between approval rates, expected loss rates, and portfolio yield.

• Conduct profitability analyses at the segment level to guide risk appetite decisions.

• Aid in scenario analysis and simulation frameworks for proposed policy modifications.

• Analyze swap-in/swap-out populations to assess potential adjustments to decisioning rules.

• Evaluate pricing effectiveness across various risk tiers, products, and distribution channels.

• Assist in the assessment of term structures, APR strategies, and fee arrangements.

• Provide data and insights that link pricing choices to portfolio economics and competitive positioning.

• Monitor the performance of credit models and scorecards (rank-ordering, KS statistics, Gini coefficients).

• Support model validation efforts by preparing performance data and conducting back-testing analyses.

• Analyze model input variables and their importance to guide future model development.

• Collaborate on reviews of model performance and identify enhancement opportunities.

• Partner with collections, servicing, and fraud teams to ensure consistent metric definitions and a shared understanding of portfolio health.

• Work together with finance on inputs for loss forecasting, CECL analysis, and assessing reserve adequacy.

• Assist in reporting to investors and the board with clear loan-level data and performance analytics.

• Engage with technology teams regarding data access, enhancements to the decisioning platform, and reporting infrastructure.

⛳️ Requirements

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Data Science, or a related quantitative discipline.

• A minimum of 3–5 years of experience in credit risk analytics, underwriting analytics, or portfolio analytics (preferably in consumer lending).

• Proven experience with SQL and Python (or R) in a professional analytics setting.

• Experience with credit policy analysis, monitoring approval rates, conducting vintage analyses, or loss forecasting.

• Familiarity with decisioning platforms, credit bureaus, or underwriting systems.

• Strong comprehension of consumer lending products, credit risk metrics, and underwriting processes.

• Experience with credit scorecards, monitoring model performance, or supporting model validation.

• Background in designing or assessing A/B tests or controlled experiments.

🏝️ Benefits

• Flexible PTO

• 12 Paid Holidays

• Up to 80% Employer-Paid Premiums for Medical, Dental, and Vision Insurance

• Long-term Disability Insurance

• Basic Life Insurance

• Paid Parental Leave

• Matching 401K

• 100% Remote Work