As a part of TIAAs Financial Solutions business, TIAA Bank, a division of TIAA, FSB, provides full-service, nationwide banking and lending services to consumer, commercial and institutional clients through a variety of channels, including online, its Florida-based financial centers and at other business offices throughout the country.
The position focuses on model development and data analysis through advanced analytical techniques. Through machine learning techniques, the role provides insight to leadership to support strategic decision making and risk management. The position will help identify data limitations in the bank and provide insight into areas for improvement in order to progress towards a state of the art analytical suite for the bank.
DUTIES & RESPONSIBILITIES:
Provide leadership and guidance to team of junior analysts in development of new
models and utilization of advanced analytics techniques.
Lead development of models for purposes of financial risk management, strategic
decision making and/or consumer insights to help inform senior leadership in key
Leverage unique skillset to address complex problems faced by the bank and
synthesize information into simplified visuals and insights to be used by business
Provide new techniques to re-develop and calibrate existing modeling such as:
residential prepayment, GNMA pool buyouts, deposit attrition, deposit new volume,
etc. to improve predictability and strengthen the banks competitive positioning.
Apply machine learning techniques such as random forest, gradient boosting, neural
networks, etc. to model consumer behavior and portfolio performance.
Develop financial forecasting models for leverage in various bank management
reporting such as Stress Testing
Bachelors degree in quantitative field
5 plus years experience working in quantitative field
Experience using various mathematical modeling techniques: Regression Techniques, Decision Trees,
Random Forest, Neural Networks, Clustering, and Simulation models.
Working knowledge of coding languages such as Python, R, Matlab, SAS and/or SQL
Advanced degree or training in quantitative field; focus on data science, machine learning, model
development and advanced analytics techniques
7 plus years experience in data science and modeling in any industry
Focus on consumer insights and product development
Business knowledge through previous financial firm employment or MBA degrees
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