Fraud Risk ML Program Lead

JPMorgan Chase; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase is seeking a Risk Program Senior Associate in Plano, TX to lead ML-driven fraud risk ranking and model development on large-scale transaction data. You’ll work on feature engineering, model selection, and training using cutting-edge tools to improve fraud detection and customer experience.

You’ll collaborate with business teams to translate needs into ML solutions, leverage big data platforms, and share insights across a broad audience within the firm.

Qualifications

• Master's degree in a quantitative field is required.

Responsibilities

• Identify and retool machine learning algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform ML tasks including feature engineering, feature selection, and training models on large transaction data.
• Collaborate with business teams to identify opportunities and guide ML solution usage.
• Share knowledge and provide domain expertise across the firm.

Skills

Data analysis

Machine learning intuition

Problem solving

Strong quantitative mindset

Education

Master's degree in Mathematics/Statistics/CS/Operations Research/Physics

PhD in a quantitative field (preferred)

Tools

Python

Databricks

AWS

GCP

Neo4j/TigerGraph

Job description

JPMorgan Chase is seeking a Risk Program Senior Associate in Plano, TX to lead ML-driven fraud risk ranking and model development on large-scale transaction data. You’ll work on feature engineering, model selection, and training using cutting-edge tools to improve fraud detection and customer experience.

You’ll collaborate with business teams to translate needs into ML solutions, leverage big data platforms, and share insights across a broad audience within the firm.