This role focuses on quantitative finance analysis within Bank of America's Global Risk Management division. It involves developing and implementing quantitative models, conducting market risk stress testing, and performing statistical analysis on large datasets. A significant part of the role includes designing features for data-centric AI solutions, contributing to the architecture and prototyping of data and AI-powered solutions, and evaluating data & AI tools through proof of concepts. The analyst will also be involved in data management, data architecture, and data platforms, ensuring high-quality data for quantitative modeling and evangelizing new data & AI solutions.

Feature Lead Data Engineer to build out data pipelines to source large volumes of structured (ex: KDB) & unstructured data (ex: Research documents, Term Sheets), classify, and store data to meet GenAI requirements. The role will design, develop, and engineer platform for high performance and scalability.