2027 Consumer & Community Banking - Risk Modeling Associate Program - Summer Internship

About the role

This summer internship places graduate students on Consumer and Community Banking Risk Modeling teams, developing machine learning and data science solutions for credit decisions, fraud detection, and loan-loss reserves. Interns conduct research, collaborate with stakeholders, receive mentorship and senior-leader exposure, and may receive a full-time offer after successful completion.

Responsibilities

• Apply machine learning techniques and data science theories to Consumer and Community Banking data assets.
• Develop advanced solutions for credit decisions, fraud detection, and loan-loss reserve modeling.
• Collaborate with stakeholders to support model-driven transformation across the business.
• Research deep learning, reinforcement learning, natural language processing, time series, and other advanced methods.
• Follow sensitive-data procedures and firm policies when engaging with control and governance bodies.
• Work collaboratively with team members in an inclusive environment.

Program Experience

• Complete project work aligned with academic and professional interests.
• Receive mentorship and participate in speaker series with senior leaders.
• Successful completion may lead to a full-time employment offer.

Locations

• Positions are available in Wilmington, Delaware; Plano, Texas; Columbus, Ohio; Jersey City, New Jersey; and Palo Alto, California.