Data Science Manager

Owning the full lifecycle of machine learning models, the full-time remote Data Science Manager will design, build, deploy, and monitor credit risk models that directly influence customer approval and credit decisions while collaborating with cross-functional teams. Key Responsibilities Develop and engineer high-signal features from various datasets to enhance predictive power of credit models Lead the end-to-end development and implementation of strategic credit risk models, ensuring they align with business objectives Source, clean, and prepare financial data for modeling, maintaining high standards of data integrity Required Qualifications Master's or PhD in a quantitative discipline such as Statistics, Mathematics, Data Science, or Econometrics 5+ years of experience as a Data Scientist or ML Engineer with a focus on predictive modeling in credit risk or financial analytics Advanced proficiency in Python for statistical modeling and strong SQL skills for data extraction Prior experience in consumer lending or fintech, with a solid understanding of credit metrics like DTI and PTI Hands-on experience with model risk governance frameworks and effective communication skills for cross-functional collaboration