Senior Associate Compliance Quant Modeling Fair Lending

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 39 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $174k

$126k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $135,500–$211,525.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Compliance Quant Modeling Fair Lending

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The Compliance - Quant Modeling Senior Associate Fair Lending role involves developing innovative analytical and technology solutions to enhance fair lending risk analysis methodologies and improve process efficiency. Working within the compliance team, you will build AI-enabled tools, intelligent agents, and automated workflows to scale capabilities and reduce manual effort across fair lending processes. You will develop statistical models to evaluate disparities across lines of business while ensuring alignment with regulatory standards and model risk governance. The role requires a graduate degree in a quantitative field and proficiency in Python, shell scripting, cloud platforms like AWS, Spark, Git, and Databricks, alongside experience with Snowflake or Hadoop. You will utilize machine learning, generative AI, and RAG to solve complex business problems while communicating technical results to diverse stakeholders regarding fair lending risks and compliance requirements.

Skills

Python Generative AI Machine Learning RAG Spark AWS Databricks Snowflake Hadoop Teradata Hive Git Bitbucket Shell Scripting Tableau Alteryx Data Science

What you'll do

Develop innovative analytical and technology solutions to enhance fair lending risk analysis methodologies.
Implement AI-enabled tools, generative AI, and intelligent automation to scale analytics and reduce manual effort.
Design and deploy automated workflows and reusable tools to support model review processes.
Identify and analyze data gaps between available information and business policy requirements for fair lending projects.
Develop statistical models to evaluate potential fair lending disparities across various lines of business.
Maintain model documentation and ensure compliance with Model Risk Governance and Review standards.
Assess model methodologies, assumptions, and performance metrics to identify potential fair lending implications.
Create reports and presentations to communicate analytical results and innovation initiatives to technical and non-technical stakeholders.

What we're looking for

Graduate degree in a quantitative field like Statistics, Economics, Computer Science, Engineering, Data Science, Mathematics, or a related discipline.
2+ years of experience in statistics, data science, business analytics, model review, or a related quantitative function.
Proficiency in Python, shell scripting, cloud computing platforms (AWS, Spark, Git/Bitbucket, Databricks), and database systems (Snowflake, Hadoop, Teradata, Hive).
Deep understanding of statistical concepts and methodologies to address complex business and compliance questions.
Experience developing, implementing, and evaluating machine learning models to support business decision-making.
Experience applying data science, automation, AI, machine learning, or advanced analytics techniques to solve business problems.
Excellent verbal and written communication skills to present complex issues to technical and non-technical audiences.
Experience with generative AI, LLMs, RAG, agentic systems, or fair lending (preferred); knowledge of BI tools like Tableau or Alteryx (plus).

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