Compliance - Quant Modeling Senior Associate (fair Lending) - Associate

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Corporate Sector

This role focuses on applying quantitative modeling and statistical analysis to ensure fairness and compliance in line-of-business models, including traditional, ML/AI, and Gen AI models, within a regulated financial environment. The primary goal is to detect and mitigate bias to comply with Fair Lending Laws and regulations.

What you'd actually do

  1. Conduct statistical analyses and bias testing to review business models, including traditional models, machine learning / artificial intelligence models (ML/AI) as well as Gen AI based models for fair lending compliance This role offers a unique opportunity to gain exposure to a wide variety of models across different lines of business, enhancing your expertise and broadening your understanding of diverse modeling approaches.
  2. Build data-driven algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models
  3. Perform research & development to keep the fair lending compliance program aligned with industry and regulatory standards
  4. Prepare presentations & reports to explain statistical results in both non-technical and technical formats to various stakeholders such as senior management, Legal, Model developers, Model Governance etc.
  5. Create model documentation; work with Control, Audit and Model Governance teams to ensure adequacy of processes, statistical models and model reviews

Skills

Required

  • Python
  • shell scripting
  • cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket, DataBricks)
  • database systems (e.g., Snowflake, Hadoop, Teradata, Hive)
  • developing, implementing and evaluating linear / logistic regression and machine learning / artificial intelligence models
  • working or consulting for a bank, a consumer financial product company such as a non-depository mortgage lender or fintech, a banking regulator (e.g., OCC, CFPB) or other similar government regulatory or enforcement agencies with knowledge of how consumer financial products such as mortgage and auto loans are underwritten and priced
  • project management
  • critical thinking
  • analytical skills
  • communication skills both verbal and written

Nice to have

  • bias detection tools or research of fairness
  • LLM prompt engineering
  • LLM-based model development (e.g., transformers, embeddings, large language models)

What the JD emphasized

  • fair lending compliance
  • bias testing
  • machine learning / artificial intelligence models
  • Gen AI based models
  • quantitative field
  • Fair Lending Laws and regulations

Other signals

  • statistical modeling
  • bias testing
  • fair lending compliance
  • machine learning models
  • AI models
  • Gen AI models