Credit Data Scientist

We are seeking an experienced and analytically rigorous Credit Data Scientist skilled in credit modeling and data-driven decision-making efforts. You will play a crucial role in shaping our product and credit risk strategies by leveraging your expertise in predictive modeling, credit risk analysis, and scientific methodologies. Working closely with cross-functional teams—including Product, Engineering, Marketing, Sales, Finance, and Data Science—you will design and deploy innovative data science solutions to drive impactful, data-informed decisions at scale.

In This Role, You Will:

Collaborate with cross-functional teams to shape credit and product strategies, applying scientific rigor to solve complex business problems.
Design, implement, and launch innovative statistical, machine learning, and econometric models to measure results, predict outcomes, and identify causal impacts across products.
Lead the development and deployment of credit risk models to minimize losses, improve prediction accuracy, and optimize credit performance.
Interpret and analyze experimental results, developing key metrics and performance indicators for credit products.
Drive the collection of new data sources and refine existing datasets to improve model accuracy and decision-making.
Serve as the go-to expert for credit insights, engaging with regulators, engineers, data architects, and other stakeholders.
Create compelling analyses and data-driven narratives that inspire strategic action across teams.

We’re Looking For Someone With:

Experience & Expertise: 5+ years in data science, credit modeling, or risk management, ideally within a major bank or fintech environment, with a demonstrated ability to influence credit trends and make high-impact decisions.
Credit-Specific Skills: Hands-on experience with credit risk modeling, a deep understanding of consumer credit dynamics, and a track record of optimizing credit portfolios and improving model metrics (AUC/ROC/KS).
Statistical and Machine Learning Skills: Expertise in statistical analysis, machine learning, experimental design, and econometrics.
Technical Proficiency: Advanced knowledge of Python, R, and SQL, with experience designing and deploying models in production environments.
Educational Background: Master’s degree or Ph.D. in a quantitative field such as Computer Science, Mathematics, Engineering, Economics, or related discipline.

This role offers a unique opportunity to shape the future of credit products through data science, with the potential to make a significant impact on our business and customer outcomes. Join us in our mission to drive innovation in credit management and data-driven product strategy.

CTB1LLC, a boutique talent and placement company

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Credit Data Scientist