Senior AI/ML Modeling Associate — Banking

J.P. Morgan; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

J.P. Morgan’s Consumer Bank AI Modeling team builds advanced analytics and ML models to improve banker sales effectiveness and customer outcomes. You will deploy models that drive lead scoring, cross-sell, and retention, and translate results into clear guidance for business partners.

The role emphasizes governance, model risk management, and collaboration with product, UX, operations, and technology teams to deliver field-ready tools bankers trust and adopt.

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• 3+ years building and deploying AI/ML models in production.
• Proficient in Python with ML frameworks and core libraries.
• Experience with model governance, testing, and deployment processes.

Responsibilities

• Develop and deploy AI/ML models for consumer banking applications.
• Translate model outputs into actionable recommendations for non-technical partners.
• Collaborate with governance, risk, and controls teams for model reviews.
• Work with datasets to define success metrics and monitor drift.

Skills

Python

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Cloud computing

Model deployment

Education

Master's or Ph.D. in quantitative discipline

Tools

Databricks

Snowflake

MLOps

Job description

J.P. Morgan’s Consumer Bank AI Modeling team builds advanced analytics and ML models to improve banker sales effectiveness and customer outcomes. You will deploy models that drive lead scoring, cross-sell, and retention, and translate results into clear guidance for business partners.

The role emphasizes governance, model risk management, and collaboration with product, UX, operations, and technology teams to deliver field-ready tools bankers trust and adopt.