JPMorgan Chase is looking to solve the problem of detecting and mitigating bias in line-of-business models to ensure fair lending compliance and provide fair, equitable, and nondiscriminatory access to credit for both individuals and communities.
Requirements
- Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive)
- Experience in developing, implementing and evaluating linear / logistic regression and machine learning / artificial intelligence models
- Experience 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
- Experience with SAS
- Experience with bias detection tools or research of fairness
- Experience in LLM prompt engineering
Responsibilities
- Conduct statistical analyses and bias testing to review business models, including both traditional and machine learning / artificial intelligence models (ML/AI), for fair lending compliance.
- Engage with extensive model documentation to thoroughly understand the models you review from a fair lending perspective, allowing you to develop a comprehensive understanding of complex models and their applications.
- Build data-promoting algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models.
- 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.
- Perform research & development to keep the fair lending compliance program aligned with industry and regulatory standards.
- Create model documentation; work with Control, Audit and Model Governance teams to ensure adequacy of processes, statistical models and model reviews.
- Support the team in maintaining relevant policies & procedures and representing fair lending in regulatory exams, audits and other areas related to internal governance.
Other
- Bachelor degree required in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) with 4+ years of relevant work experience, or Graduate degree in a quantitative field with 3+ years of relevant work experience
- Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
- Strong project management, critical thinking and analytical skills; ability to work in a fast-paced environment and manage multiple projects towards completion with focus on quality
- Excellent communication skills both verbal and written; ability to communicate technical matters in a non-technical way & clearly present complex and sensitive issues
- Authorized to work in the United States
