QR Wholesale Credit Data Engineer - Associate

Join JPMorgan Chase's Wholesale Credit Data QR team as a Quantitative Research Data Engineering Associate. This role focuses on designing and delivering firm-wide data to support Wholesale Credit Stress models and loan loss reserves. You'll be responsible for data model definition, Data Dictionary evolution, and deep dive Data Analysis. The position involves working with experienced Wholesale Credit model developers and business partners, enhancing both quantitative and business skills.

The role is part of the Commercial & Investment Bank division, a global leader across banking, markets, securities services and payments. You'll contribute to mission-critical data infrastructure supporting credit risk modeling platforms, working with various stakeholders to implement and optimize data solutions.

Key aspects include building data pipelines, performing complex transformations, and supporting model development for BASEL, CCAR, and CECL credit risk models. The ideal candidate combines strong technical skills in Python and SQL with an understanding of credit risk and regulatory frameworks.

This opportunity offers exposure to cutting-edge financial technology, working with large datasets and sophisticated risk models. You'll be part of a dynamic team that values innovation, analytical thinking, and collaborative problem-solving. The position provides a unique blend of technical data engineering and financial domain expertise, making it ideal for those interested in the intersection of technology and financial risk management.