Senior Quantitative Compliance & AI Modeling Associate

JPMorganChase; Jersey City (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

JPMorganChase is seeking a quantitative analyst to develop AI-enabled analytical solutions for fair lending risk management in Jersey City, NJ. You will collaborate with Modeling, Technology, and Data Science teams to design, prototype, and deploy automated workflows and reusable tools catering to compliant risk analytics.

Role requires a strong foundation in statistics and ML, experience with cloud platforms and data systems, and the ability to communicate complex findings to stakeholders

Qualifications

• Graduate degree in a quantitative field (Statistics, Economics, CS, Engineering, Data Science).
• 2+ years of experience in statistics, data science, analytics, model review, or related quantitative function.
• Proficiency in Python, shell scripting, cloud platforms/tools (AWS, Spark, Git/Bitbucket, Databricks) and databases (Snowflake, Hadoop, Teradata, Hive).
• Deep understanding of statistical concepts and methodologies for complex business and compliance questions.
• Experience developing, implementing, and evaluating ML models with ability to select techniques, validate performance, and interpret results.
• Experience applying data science, automation, AI, ML, or advanced analytics to solve business problems.
• Strong critical thinking and analytical skills; able to manage multiple projects in a fast-paced environment.
• Willingness to learn, adapt, and collaborate as a team player.
• Excellent verbal and written communication, able to present complex issues to technical and non-technical audiences.

Responsibilities

• Conduct research and develop analytical and technology solutions to enhance fair lending risk analysis methodologies.
• Leverage AI-enabled tools and automation to scale analytical capabilities and reduce manual effort.
• Partner with Modeling, Technology, Data Science, and business teams to design and implement AI-enabled solutions.
• Evaluate and deploy advanced analytical capabilities to improve productivity and controls.
• Identify data needs and gaps between available data and policy requirements; coordinate with lines of business for resolution.
• Develop and apply statistical models to evaluate fair lending disparities across businesses; inform analytic strategies.
• Prepare and maintain model documentation; evaluate model performance and ensure governance standards.
• Support model review by assessing methodologies, assumptions, and performance metrics.
• Prepare presentations and reports communicating results to technical and non-technical audiences.

Skills

Python

Shell scripting

Statistical concepts

Machine learning

Automation/AI

Data science

Communication

Education

Graduate degree in a quantitative field

Tools

AWS

Spark

Git/Bitbucket

Databricks

Snowflake

Hadoop

Teradata

Hive

Job description

JPMorganChase is seeking a quantitative analyst to develop AI-enabled analytical solutions for fair lending risk management in Jersey City, NJ. You will collaborate with Modeling, Technology, and Data Science teams to design, prototype, and deploy automated workflows and reusable tools catering to compliant risk analytics.

Role requires a strong foundation in statistics and ML, experience with cloud platforms and data systems, and the ability to communicate complex findings to stakeholders