We are seeking a Senior Quantitative Credit Risk Strategist as part of the team. You will work with other analysts, risk managers and leaders to analyze customer characteristics, identify risk differentiators, and recommend underwriting and collections strategies to achieve the risk and return goals. If you have an analytic and data driven mindset, eye for detail and can-do attitude then you are right for this position.
About this roll* (Responsibilities)
- Analyze data to identify risk drivers and propose mitigation strategies
- Work with Data Science team to build and test credit, account management and Collection models
- Set credit strategy and policy to mitigate risk and drive business growth
- Improve Collection performance by operational, policy and modeling improvements
- Set underwriting and account management strategy
- Collaborate with R+D, Product, and Operations on the test and launch of new features and/or products
Do you have the right ingredients*? (Requirements)
- 6+ years of experience in retail/consumer/SMB finance in a credit risk or strategy role preferably in Fintech/banks
- Ability and experience in writing credit memos and credit decision and strategy documentation
- Hands on experience in using data and analytics to drive credit risk strategy is required
- Experience in A/B testing
- Masters Degree or higher in a quantitative field (Mathematics/Statistics/Economics/OR/Business)
- Advanced data analytics skills, including use of SQL, Python/R, Excel and data visualization tools such as Tableau/Hex
- Familiarity with statistical modeling
Ability to influence a cross-functional non-hierarchical environment to lead collaborations and drive progress
