Senior Fraud Risk ML Scientist

JPMorgan Chase Bank, N.A.; Plano (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

JPMorgan Chase Bank, N.A. in Plano, TX is seeking a Risk program Senior Associate to advance fraud risk modeling and ML solutions for consumer banking transactions and new products.

You will engineer features, select models, and train algorithms using large-scale data, collaborating with business teams to translate needs into predictive analytics while helping reduce fraud loss and improve customer experience.

Qualifications

• Master's degree in a quantitative field.
• 2+ years of experience with data analysis in Python.
• Experience designing models using CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM.
• Strong interest in how models work and practical design aspects.

Responsibilities

• Identify and retool ML algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform ML tasks such as feature engineering, feature selection, and developing training models to extract predictive patterns from billions of data points.
• Collaborate with business teams to identify opportunities, collect business needs, and guide on ML solutions.
• Interact with a broader audience in the firm to share knowledge and provide domain expertise.

Skills

Python data analysis

ML algorithms design

Feature engineering

Data analysis

CNN

RNN

SVM

Reinforcement Learning

Random Forest/GBM

Education

Master's degree in Mathematics/Statistics/Economics/CS/OR/Physics

Tools

Spark

Hive

Keras / TensorFlow

Job description

JPMorgan Chase Bank, N.A. in Plano, TX is seeking a Risk program Senior Associate to advance fraud risk modeling and ML solutions for consumer banking transactions and new products.

You will engineer features, select models, and train algorithms using large-scale data, collaborating with business teams to translate needs into predictive analytics while helping reduce fraud loss and improve customer experience.