Consumer Credit Modeling - Quant Researcher
Summary: A leading investment management firm is expanding its quantitative research team with a new hire focused on consumer credit modeling. This firm is known for its deep expertise in mortgage and consumer credit markets, and its integrated approach to investment, analytics, and loan servicing. The team is seeking an AVP-level Quantitative Researcher/Strategist to join their Consumer Modeling group. This is a high-impact role where you'll work cross-functionally with investment, risk, and strategy teams to build and enhance credit risk models and data pipelines that directly influence underwriting and pricing decisions. The team is collaborative, data-driven, and committed to innovation in credit analytics. This is a unique opportunity to shape the modeling infrastructure of a growing platform and contribute to the development of new consumer lending strategies.
Key Responsibilities:
- Develop credit and risk models using internal and external data to support underwriting and ABS pricing
- Build forecasting models and stress testing frameworks for consumer loan portfolios
- Design and maintain performance monitoring tools and early warning systems
- Create dashboards and data pipelines to track loan applications, decisions, and performance
- Collaborate with emerging business units to develop credit policies and risk strategies
Job Requirements:
- Bachelor's degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Data Science)
- Strong programming skills in Python
- Experience with SQL and data visualization tools (e.g., PowerBI, Tableau, Dash, RShiny)
- Proven experience building credit risk models and working with statistical frameworks
- Excellent communication skills and the ability to work across teams
Preferred Skills:
- Experience in consumer loans or ABS modeling
- Familiarity with loan-level data and performance analytics
- Ability to translate complex data into actionable insights for business stakeholders
Apply now to join a high-performing quant team at the forefront of consumer credit innovation.
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