JPMorgan Chase is committed to providing fair, equitable, and nondiscriminatory access to credit. The Office of Fair Lending (OFL) needs to ensure firm's compliance with fair lending laws. This role will perform statistical modeling and analyses to detect & mitigate bias in line-of-business models and participate in bias testing-related research projects to support and enhance the bank’s fair lending compliance program.
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 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) and 8+ years of relevant work experience or Graduate degree in a quantitative field, and 6+ 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
- 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
- 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
- Experience managing a team of quants
