Fraud Risk Modeling & GenAI Specialist

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in Delaware seeks a CCB Risk Modeling specialist with expertise in computer vision, Generative AI, and image generation for fraud modeling applications.

You will help build vision and multimodal AI systems—image understanding, anomaly detection, synthetic data, and GenAI-enabled workflows. You will lead model development, evaluation, and monitoring tooling, and partner with risk, technology, and governance teams to ensure robust, scalable solutions that meet regulatory

Qualifications

• PhD or Master’s degree in a quantitative discipline such as CS, Math, Stats, Econometrics, or Engineering.
• 5+ years’ experience building predictive models and generative AI solutions using prompt engineering.
• Hands-on with LLM APIs and Python data libraries for manipulation, modeling and analysis.

Responsibilities

• Model development for fraud modeling across customer lifecycle (acquisition, accounts, transactions, collections).
• Apply deep learning, transformers, and LLMs on large data platforms to solve business problems.
• Collaborate with senior management to deploy ambitious modeling solutions into production.
• Partner with risk, governance, and research teams through the full modeling lifecycle.

Skills

Python

LLM prompts

GenAI

Pandas

NumPy

scikit-learn

TensorFlow

PyTorch

Spark

Scala

AWS

Hive

MLOps

Governance

Education

PhD or MSc in quantitative field

Tools

LLM APIs

Hadoop

AWS

Hive

Spark

TensorFlow

PyTorch

scikit-learn

Job description

JPMorgan Chase & Co. in Delaware seeks a CCB Risk Modeling specialist with expertise in computer vision, Generative AI, and image generation for fraud modeling applications.

You will help build vision and multimodal AI systems—image understanding, anomaly detection, synthetic data, and GenAI-enabled workflows. You will lead model development, evaluation, and monitoring tooling, and partner with risk, technology, and governance teams to ensure robust, scalable solutions that meet regulatory