Compliance - Quant Modeling Senior Associate (Fair Lending)

Responsibilities

• Conduct statistical analyses and bias testing on traditional, machine learning (ML/AI), and Gen AI models to ensure fair lending compliance.
• Build data-driven algorithms to mitigate potential disparate impact by developing less discriminatory alternative models.
• Engage with extensive model documentation to understand complex model applications from a fair lending perspective.
• Prepare technical and non-technical presentations and reports for stakeholders, including senior management, Legal, and Model Governance.
• Perform research and development to keep the fair lending compliance program aligned with industry and regulatory standards.
• Create model documentation and work with Control, Audit, and Model Governance teams to ensure process adequacy.

Requirements

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) with 4+ years of relevant experience, or a Graduate degree with 3+ years of relevant experience.
• Proficiency in Python, shell scripting, and cloud computing platforms (e.g., AWS, Spark, Databricks).
• Experience developing, implementing, and evaluating linear/logistic regression and ML/AI models.
• Experience in banking, consumer financial products, or working with regulatory agencies (e.g., OCC, CFPB).
• Strong analytical, project management, and communication skills, with the ability to explain technical matters to non-technical audiences.

Preferred Qualifications

• Experience with bias detection tools or fairness research.
• Experience in LLM prompt engineering and LLM-based model development (e.g., transformers, embeddings).

About the Company

JPMorgan Chase is a leading global financial services firm with over 200 years of history. We provide innovative financial solutions to millions of consumers, small businesses, and prominent corporate and institutional clients through our J.P. Morgan and Chase brands.