Data Scientist - Credit

Data Scientist - Credit

This position is central to enhancing the end-to-end model development process, from data exploration and credit risk modeling to model deployment and monitoring in production. This role bridges the gaps between data science and MLOps and is critical to ensure that models are analytically strong, operationally reliable, and compliant. Without this backfill, we not only face delivery risk on Autonomous Under Writing (AUW), Gen6 model development but also lose key modeling bandwidth needed to maintain credit model performance and for new modeling initiatives.

Duties & Responsibilities - Strengthen Credit Risk Modeling and Credit Predictability

• Build and enhance credit risk models (e.g., Gen5B Shadow / Gen6, and Autonomous Underwriting) to improve credit predictability and manage portfolio risk.
• Work with MLOps, Feature Platform, Credit Strategy, and Implementation teams to build adaptive modeling pipelines that connect model insights directly to automated, production-ready decision flows.
• Keep our modeling framework responsive to changes in credit quality and macroeconomic trends.
• Conduct exploratory data analysis and experiment tracking to identify key risk drivers and optimize model performance.

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

Duties & Responsibilities - Support Model Monitoring and Governance

Requirements

$125,000 - $140,000 a year. 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.