Compliance - Quant Modeling Senior Associate, Fair Lending

JPMorgan Chase

Quick summary

Work type: On-site
Location: Wilmington, DEJersey City, NJTampa, FLPlano, TX
Salary: $118,750–$170,000 / yr
Posted: 28 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $144k

$110k most similar roles pay here $204k

This role pays less than 62% of similar roles. Most pay $127,950–$195,257 — the shaded band above. At the midpoint, this role pays about $144k versus about $162k for comparable roles.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

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At a glance

TL;DR · Compliance - Quant Modeling Senior Associate, Fair Lending

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As a Fair Lending Quant Modeling Senior Associate within JPMorgan Chase’s Risk Management and Compliance team, you will play a crucial role in ensuring compliance with fair lending laws by conducting statistical analyses and bias testing on various models, including AI/ML models. Your day-to-day responsibilities include developing data-driven algorithms to mitigate disparate impacts, preparing detailed reports for stakeholders, and collaborating with model developers and legal teams to enhance model fairness. You will need proficiency in Python, cloud computing platforms like AWS and Spark, and experience with machine learning models. This role offers exposure to diverse modeling approaches across different business units, requiring a strong background in quantitative fields such as statistics or computer science, along with expertise in fair lending compliance and regulatory standards.

Skills

Python AWS Spark Git DataBricks Snowflake Hadoop Teradata Hive Linear Regression Logistic Regression Machine Learning Artificial Intelligence LLM Prompt Engineering Transformers Large Language Models CI/CD

What you'll do

Conduct statistical analyses to detect bias in business models, including AI/ML models.
Develop data-driven algorithms to mitigate disparate impact of models.
Prepare presentations and reports explaining statistical results to various stakeholders.
Engage with model documentation to understand complex models from a fair lending perspective.
Perform research to align the fair lending compliance program with industry standards.
Create and maintain model documentation for regulatory exams and audits.
Support internal governance by representing fair lending in regulatory exams and audits.

What we're looking for

Bachelor’s degree in a quantitative field with at least 4 years of relevant work experience, or graduate degree with 3+ years.
Proficiency in Python, shell scripting, and cloud computing platforms like AWS, Spark, Git/Bitbucket, DataBricks.
Experience developing, implementing, and evaluating linear/logistic regression and machine learning/AI models.
Knowledge of consumer financial products underwriting and pricing from a bank or fintech perspective.
Strong project management skills with the ability to work in a fast-paced environment managing multiple projects.
Excellent communication skills for presenting technical matters in non-technical terms.
Experience with bias detection tools and LLM-based model development.

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