Principal Associate, Data Scientist

Data Scientist role focused on developing behavior models for balance sheet portfolios and applying quantitative methods across the analytics team. The role emphasizes AWS-based data science, model development, and clear communication with risk and regulators.

• Develop econometric time-series models for the balance sheet
• Apply quantitative methods to improve business performance
• Communicate models to management, model risk, and regulators
• Maintain high-quality documentation
• Collaborate with analytics team to advance deposit modeling framework

Strong modeling and ML background with AWS and open-source tools; hands-on experience with Python, SQL, and ML techniques including time series, clustering, and deep learning.

The ideal candidate is a senior data scientist with 3+ years of Python, 3+ years of ML, 3+ years of SQL, and at least 1 year AWS experience, capable of building behavior models for balance sheet portfolios and communicating with regulators and the model risk office.