Senior AI Risk Modeling & Explainability Associate

JPMorganChase; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a highly skilled risk modeling specialist to advance credit decision and fraud models with explainable AI. The role emphasizes cutting-edge ML, transformer-based methods, and responsible deployment across risk governance and production environments, collaborating with cross-functional teams.

The ideal candidate will contribute to model development, tooling, and responsible AI practices, ensuring regulatory alignment and ethical standards in production systems.

Qualifications

• Ph.D. or Master's in a quantitative field; strong mathematical background.
• 2 years of data analysis experience in Python.
• Proven track record designing and deploying production ML models.
• Experience with interpretability and fairness for complex models.

Responsibilities

• Design and develop ML models for credit decisions and fraud modeling across the customer lifecycle.
• Apply advanced ML techniques including deep learning, transformers, and LLMs on large data platforms.
• Build and maintain explainability and fairness tooling for ethical AI deployment.
• Collaborate with risk, governance, and tech teams to productionize models and ensure compliance.

Skills

Python

ML model development

Explainability

XGBoost/GBM

LLMs

MLOps

Education

Ph.D. or Master's in a quantitative field

Tools

TensorFlow

PyTorch

Spark

AWS

Hive

Job description

JPMorganChase is seeking a highly skilled risk modeling specialist to advance credit decision and fraud models with explainable AI. The role emphasizes cutting-edge ML, transformer-based methods, and responsible deployment across risk governance and production environments, collaborating with cross-functional teams.

The ideal candidate will contribute to model development, tooling, and responsible AI practices, ensuring regulatory alignment and ethical standards in production systems.