Compliance - Quant Modeling Senior Associate

JPMorgan Chase & Co. • Jersey City, NJ

13h

About The Position

As a Quant Modeling Associate Senior within the Risk Management and Compliance organization at JPMorgan Chase, you will play a critical role in maintaining the firm’s strength and resilience. This involves anticipating new and emerging risks and applying expert judgment to solve real-world challenges that impact the company, customers, and communities. You are expected to encourage innovative thinking, challenge the status quo, and strive for best-in-class performance. Your primary responsibilities will include performing statistical modeling and analyses to support the firm’s fair lending program, as well as participating in research projects aimed at enhancing the bank’s fair lending compliance program. JPMorgan Chase is committed to providing fair and nondiscriminatory access to credit, and the Office of Fair Lending (OFL) oversees the firm’s compliance with fair lending laws.

Requirements

• Graduate degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering).
• Deep understanding of statistical concepts and methodologies, with the ability to apply them effectively.
• 2+ years of experience in statistics, data science, economics or a related quantitative field.
• Proficiency in SAS, Python, SQL, and general database skills; ability to write efficient coding / macros for statistical modeling, data manipulation, and automation of analytical workflows.
• Experience with BI, GIS, or automation tools (e.g., Tableau, ArcGIS, Alteryx); demonstrated ability to leverage these platforms to analyze complex datasets, generate actionable insights, and optimize analytical processes.
• Experience developing, implementing, and evaluating statistical models (e.g., linear/logistic regression, machine learning models); demonstrated ability to select appropriate modeling techniques, validate model performance, and interpret results to support business decision-making.
• Strong critical thinking and analytical skills, with the ability to manage multiple projects in a fast-paced environment while maintaining a focus on quality.
• Willingness to learn, adapt to changes, and work collaboratively as a team player.
• Excellent verbal and written communication skills, with the ability to clearly present complex and sensitive issues to both technical and non-technical audiences.

Responsibilities

• Develop and apply statistical models and techniques to evaluate potential fair lending disparities across home lending and related lines of business (e.g., home lending – consumer, correspondent, servicing, subservicing, commercial term lending, asset wealth management).
• Interpret and apply fair lending laws, regulations (e.g., ECOA, Fair Housing Act, Dodd-Frank Act), and related regulatory guidance (e.g., CFPB, OCC).
• Review and assess business policies, practices, and procedures to inform analytic strategies; develop quantitative and statistical models, perform independent analysis to assess fair lending risks, and make recommendations for fair lending testing.
• Prepare and maintain model documentation, evaluate model performance, and ensure compliance with Model Risk Governance and Review standards.
• Prepare presentations and reports to communicate analytical results to technical and non-technical audiences; engage with stakeholders including OFL partner teams, lines of business (LOBs), Legal, and Model Governance.
• Identify, request, and review relevant data to support ongoing and ad hoc fair lending analysis projects; identify potential gaps between data available for analysis vis-à-vis policy (e.g., underwriting attributes) and follow up with LOBs for resolution.
• Conduct research and development to enhance analytical methods, increase process efficiency, and keep the fair lending compliance program aligned with industry and regulatory standards.
• Conduct Peer review analytical projects and provide constructive feedback.
• Perform other related duties as assigned.

Benefits

• Competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• A retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees