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

Testing Site - JPMC; Wilmington (DE); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Fair Lending Quant Modeling Associate to advance the bank's fair lending program by applying quantitative methods to detect and mitigate bias across models. You will collaborate with line-of-business teams, Legal, and Governance to ensure compliance and robust model documentation.

The role focuses on traditional and ML/AI models, including Gen AI, with emphasis on statistical analyses and experiment design to enhance risk controls and regulatory readiness.

Qualifications

• Bachelor's or graduate degree in a quantitative field with relevant experience.
• Strong analytical and data-driven problem-solving mindset.
• Proficiency in Python and cloud/data tools (AWS, Spark, Databricks).
• Experience with bias testing or fair lending practices and ML/AI model development.

Responsibilities

• Conduct statistical analyses and bias testing on models for fair lending compliance.
• Review models with extensive documentation to understand fair lending implications.
• Build data-driven algorithms to mitigate disparate impact by collaborating with developers, business strategy owners & Legal.
• Prepare presentations and reports for senior management, Legal, Model Governance, and others.
• Stay aligned with industry standards through research and development for fair lending compliance.
• Create model documentation and coordinate with Control, Audit and Governance teams.
• Support policies and procedures and participate in regulatory exams and internal governance.

Skills

Python

Shell scripting

AWS

Spark

Git/Bitbucket

Databricks

Snowflake

Hadoop

Teradata

Hive

ML/AI modeling

Fair lending knowledge

LLM prompt engineering

Communication

Project management

Banking domain knowledge

Education

Bachelor's degree in a quantitative field

Graduate degree in a quantitative field

Tools

DataBricks

Git/Bitbucket

AWS

Snowflake

Hadoop

Teradata

Hive

Job description

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 Associate Sr. 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 and 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 providing 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. As part of this mission the Office of Fair Lending (OFL) executes a robust program that oversees the firm’s compliance with fair lending laws.

Job 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

Required qualifications, capabilities and skills

• 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 regressionandmachine 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 qualifications, capabilities, and skills

• 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)

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).