Sr. Associate - Risk Modeling, AI & Explainability

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH invites applicants for a Senior ML Modeler focused on credit decision and fraud modeling.

You will design and deploy ML models across the customer lifecycle while ensuring explainability, fairness, and regulatory compliance. As part of the CCB Risk Modeling team, you will collaborate with risk, technology, governance, and research functions to advance production-ready solutions.

Qualifications

• Ph.D. or Master's in CS, Math, Stats, Econometrics, or Engineering.
• 2 years of Python data analysis experience.
• Proven track record deploying ML models in production.

Responsibilities

• Design and develop ML models for credit decisions and fraud modeling across customer lifecycle.
• Apply advanced ML techniques including DL, transformers, and LLMs on big data platforms.
• Develop tools to improve explainability and fairness of AI/ML models.
• Collaborate with risk, technology, governance, and research teams through the modeling lifecycle.
• Work with senior management to deploy models into production.

Skills

Python

TensorFlow

PyTorch

Spark

Big data

MLOps

Explainability

LLMs

Education

Ph.D. or Master’s in CS/Math/Stats/Eng

Tools

TensorFlow

PyTorch

Spark

Scala

Hadoop

AWS

Hive

MLOps tooling

Job description

JPMorgan Chase & Co. in Columbus, OH invites applicants for a Senior ML Modeler focused on credit decision and fraud modeling.

You will design and deploy ML models across the customer lifecycle while ensuring explainability, fairness, and regulatory compliance. As part of the CCB Risk Modeling team, you will collaborate with risk, technology, governance, and research functions to advance production-ready solutions.