Senior ML Fraud Risk Analyst

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX seeks a Risk program Senior Associate to advance machine learning algorithms for fraud risk ranking on transactions and applications for new products.

You will balance feature engineering, selection, and training with cutting-edge tech to extract predictive models from billions of data points. You will collaborate with business teams, apply ML methods in a big data context using distributed processing, and share insights across the firm to control fraud loss and

Qualifications

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, or other quantitative fields.
• 2+ years of experience with data analysis in Python.
• Experience designing models for a commercial purpose using at least three techniques: CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM.
• Strong interest in how models work and the practical aspects of model design.

Responsibilities

• Identify and retool ML algorithms to analyze datasets for fraud detection in Chase Consumer Bank.
• Perform ML tasks including feature engineering and training models to extract predictive patterns from billions of data points.
• Collaborate with business teams to identify opportunities and guide ML solution usage.
• Share knowledge and provide domain expertise across the firm.

Job description

JPMorgan Chase & Co. in Plano, TX seeks a Risk program Senior Associate to advance machine learning algorithms for fraud risk ranking on transactions and applications for new products.

You will balance feature engineering, selection, and training with cutting-edge tech to extract predictive models from billions of data points. You will collaborate with business teams, apply ML methods in a big data context using distributed processing, and share insights across the firm to control fraud loss and