Job Description Working for one of the largest banks, card issuers, and payments processors in the US, you'll be fighting crime and protecting consumers and small businesses from financial fraud, including credit/debit card transactional fraud, account takeovers and identity theft, with mathematical modeling.
In this role, you'll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.
You'll work in an industrial R&D/skunkworks environment, exploring cutting edge ML/AI techniques and developing innovative predictive models on a dataset in the hundreds of TBs and higher. As there are no known model architectures that are effective on fraud datasets in general, you'll need to develop them.
Qualifications:

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields
• At least one year of experience with data analysis in Python
• Experience in designing models for a commercial purpose using some (at least 2) of the following machine learning and optimization techniques: CNN, RNN, GNN, SVM, Knowledge Graph, Reinforcement Learning, Random Forest/GBM, GLM, NLP
• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed

Preferred Qualifications:

• PhD in a quantitative field with publications in top journals, preferably in machine learning, Graph/Graph-network
• Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive
• Experience designing models with Keras/TensorFlow on GPU-accelerated hardware

About Us Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.
As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm's current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm's vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.
Equal Opportunity Employer/Disability/Veterans
About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.