Consumer & Community Banking Risk Modeling Associate Program Summer Internship

What you'll do

• Apply machine learning techniques and data science theories to unique CCB data assets.
• Build advanced solutions for credit decisions, fraud detection, and loan loss reserves.
• Explore cutting-edge research in partnership with leading academic institutions.
• Drive model-driven transformation across the business by collaborating with stakeholders.
• Implement technologies including Deep Learning, NLP, Time Series, and Computer Vision.
• Adhere to protocols and procedures when handling sensitive data and interacting with governance bodies.
• Present research findings and technical results to non-technical audiences.

What we're looking for

• Enrolled in a Ph.D. or 2-year Master’s degree program in math, science, engineering, computer science, or other quantitative fields.
• Expected graduation date between December 2027 and July 2028.
• Knowledge of machine learning and data science theory, techniques, and tools.
• Knowledge and proficiency in Python.
• Excellent analytical, quantitative, and problem-solving skills with demonstrated research ability.
• Strong communication skills and the ability to present findings to a non-technical audience.
• Experience with modern machine learning tools such as PyTorch and XGBoost (preferred).
• Experience with data tools such as Hadoop, PySpark, and SQL (preferred).