Chase · 8 hours ago
Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate
JPMorgan Chase is committed to providing fair and equitable access to credit, and they are seeking a Fair Lending Quant Modeling Senior Associate to enhance their compliance program. This role involves conducting statistical modeling and analyses to detect and mitigate bias in business models, while collaborating with various stakeholders to ensure compliance with Fair Lending Laws and regulations.
BankingFinancial Services
Responsibilities
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
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-driven 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
Qualification
Required
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
Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark, Git/Bitbucket, DataBricks) 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
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
Preferred
Experience with bias detection tools or research of fairness
Experience in LLM prompt engineering and LLM-based model development (e.g., transformers, embeddings, large language models)
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
Recent News
2026-01-24
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