JPMorgan Chase
CCB Risk Modeling Senior Associate - Fraud Prevention
Wilmington, DE · Senior · Full-time · Posted Oct 12, 2026
- Experience
- Minimal 3 years developing and managing predictive risk models in financial institutions.
- Education
- Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field, or equivalent work experience.
About the job
Develops and deploys machine learning and AI solutions to detect and prevent fraud, while shaping technical direction and building reusable firmwide capabilities.
What you'll do
- Develop, train, deploy, monitor, and optimize fraud prevention and risk management models.
- Research and implement Graph Networks, Agentic AI, and Large Language Models; build and test AI agents.
- Create data pipelines and dashboards, guide technical strategy, mentor junior team members, and collaborate across teams.
What they ask for
- Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field, or equivalent work experience.
- Minimal 3 years of experience developing and managing predictive risk models in financial institutions.
- Hands-on experience with classical and deep learning methods, and proficiency in Python, SQL or PySpark, and deep learning and classical machine learning tools.
- Experience with large datasets and data pipelines, AWS cloud environments, building and testing AI agents, and mentoring or coaching junior team members.
Nice to have
- Experience or strong interest in Graph Analytics and Agentic AI; knowledge of GSQL.
- Deep understanding of algorithm mathematics, product-first mindset, versatility with tabular and non-tabular data, and experience building scalable, reusable solutions.
Tools
AWS, Databricks, PySpark, Python, SQL, PyTorch, TensorFlow, XGBoost
AI focus
Develops fraud-prevention and risk models; researches Graph Networks, Agentic AI, and Large Language Models; builds, tests, and improves AI agents.
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