Fraud Modeling - Machine Learning Associate

As a Fraud Modeling - Machine Learning Associate within our Consumer and Community Banking Risk Modeling team, you will be responsible for the development and implementation of machine learning models, statistical models, segmentations, and strategies. You will have the opportunity to utilize big data and distributed computing platforms, applying them to risk management for our consumer and small business portfolio. In this role, you will contribute to long-term profitable growth through strong business acumen, work collaboratively within a team environment, and effectively communicate results to senior management. This role provides an exciting opportunity to be part of a dynamic team and make a significant impact on our business. Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others.

Job responsibilities

Required qualifications, capabilities, and skills

Preferred qualifications, capabilities, and skills