Senior Analyst, Credit Risk
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–5+ years of experience
- Required Skills
- PythonSQLTableauPySpark
Requirements
- 2–5+ years of experience in credit risk, analytics, or a related role within consumer finance (e.g., lending, BNPL, credit cards)
- Strong proficiency in SQL
- Experience with Python, PySpark, or similar data tools
- Solid understanding of credit risk principles, underwriting strategies, and credit policy frameworks
- Experience building models for forecasting, pricing, and unit economics
- Ability to translate complex data into clear, business-oriented insights and recommendations
- Strong communication and stakeholder management skills, with experience working cross-functionally
- Familiarity with data visualization tools (e.g., Tableau) and AI-assisted analytics tools is a plus
- Bachelor’s degree in a quantitative field such as finance, economics, mathematics, or engineering
Responsibilities
- Own end-to-end credit analysis workflows, translating data insights into actionable strategies for underwriting, pricing, and product development
- Develop and refine credit risk models using traditional and alternative data sources, including cash flow-based insights
- Design, execute, and analyze experiments related to pricing, acquisition strategies, and product features
- Build and maintain forecasting models, including loss projections, stress testing, and portfolio monitoring frameworks
- Collaborate with cross-functional teams (Product, Engineering, Finance, and Treasury) to align analytics with business objectives
- Drive automation and scalability of credit decisioning processes while maintaining strong risk governance
- Present insights and recommendations clearly to both technical and non-technical stakeholders, influencing strategic decisions
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