Credit Risk Data Scientist

Job Summary

A company is looking for a Credit Risk Data Scientist to design, build, and deploy machine learning models for credit decisions.

Key Responsibilities:

• Design, build, evaluate, and defend machine learning models to predict credit risk
• Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting
• Collaborate with business stakeholders to implement model-driven lending policies and ensure compliance with regulatory standards

Required Qualifications:

• Strong hands-on experience in Python and SQL for data manipulation and modeling
• Proven ability to create, manage, and implement data tables
• Solid experience building machine learning models, especially tree-based algorithms
• Experience building data pipelines for model training and scoring
• Familiarity with regulatory/compliance frameworks is helpful but not critical