Teams at TIAA

Develop large-scale data science products using structured and unstructured data. Responsibilities include designing optimization and forecasting algorithms, implementing end-to-end data science solutions, applying machine learning and deep learning methods, and developing user profiling, pattern detection, predictive modeling, recommender system, and classification or regression models. The role requires statistical expertise, programming, data preprocessing, and experience with AWS cloud engineering.

Provides retirement and trust clients with investment, operational, compliance, and regulatory support. Reviews fund performance, valuation reports, transactions, accounts, and reconciliations; administers trust and estate operations; prepares tax procedures; ensures compliance with trust documents and operational controls; resolves client and internal issues; coordinates accounting-system data, reporting, dividends, and disbursements; and mentors junior professionals.

Performs quality assurance and audit support by meeting production and accuracy targets, conducting quality checks and peer reviews, identifying process deviations, and ensuring compliance with QC standards. Resolves team queries, shares process knowledge, participates in calibration and training sessions, and supports continuous improvement and process consistency.