Data Scientist - Credit

Job Description

Job Description

This role sits at the intersection of analytics, engineering, and business decisioning. You’ll help modernize how we build, deploy, and monitor credit models — ensuring our models not only perform well analytically but are also scalable, explainable, and production-ready.

Duties & Responsibilities - Strengthen Credit Risk Modeling and Credit Predictability

• Build and enhance credit risk models that improve credit predictability and portfolio performance.
• Conduct exploratory data analysis and experiment tracking to identify key risk drivers and optimize model outcomes.
• Partner closely with Credit Strategy, Implementation, and Feature Platform teams to connect model insights directly to decision flows.
• Keep our modeling framework adaptive to changing credit dynamics and economic conditions.

Duties & Responsibilities - Bridge Data Science and MLOps for Reliable Model Delivery

Duties & Responsibilities - Support Model Monitoring and Governance

Requirements

Nice to Have

This position is also eligible for an annual incentive bonus based on individual and company performance.  Yearly incentive bonus target 20% of base salary.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.