Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

 

As a Fair Lending Quant Modeling Lead within the Risk Management and Compliance organization, you are at the center of keeping JPMorgan Chase strong and resilient. You will perform statistical modeling and analyses to detect & mitigate bias in line-of-business models. Your role will involve participating in bias testing-related research projects to support and enhance the bank’s fair lending compliance program.

In this position, you will apply your quantitative skills to help line-of-business developers build fair statistical models that comply with Fair Lending Laws and regulations, including AI/ML models.

JPMorgan Chase and Co. (JPMorgan Chase) is committed to provide fair, equitable, and nondiscriminatory access to credit for both individuals and communities. This commitment is part of our fundamental mission of providing quality financial services to existing and prospective customers in accordance with all applicable laws and serving unique customers. To accomplish this, the Office of Fair Lending (OFL) has a very robust Fair Lending function that oversees firm’s compliance with fair lending laws.

 

Job 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. 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.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. Perform other related duties as assigned.

 

Required qualifications, capabilities, and skills

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 experienceEntrepreneurial 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 makingProficiency 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 modelsExperience 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 pricedStrong 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

 

Preferred qualifications, capabilities, and skills:

Experience with SASExperience with bias detection tools or research of fairnessExperience managing a team of quantsExperience in LLM prompt engineering