Executes independent second line of defense model validation activities for high risk in-house and vendor models.
Compensation
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Responsibilities
Executes independent second line of defense model validation activities for high risk in-house and vendor models.
Leverages expert technical approaches to develop and execute validation testing plans.
Replicates model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques.
Conducts and develops plans for model testing and data quality assessments for models using various types of datasets including those leveraging large datasets and unstructured datasets.
Reviews at an extensive experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance (Property & Casualty and Life).
A seasoned professional role focused on designing and orchestrating AI solutions, mentoring teams in Gen AI/Agentic AI pipelines, and working with complex datasets to support business strategies within the financial industry.
Responsibilities
Hands on design and orchestration of AI solutions to evaluate, recommend, and support the implementation of business strategies
Mentor a small team (2-5 people) and guide them in fundamental system design principles w.r.t. Gen AI/Agentic AI pipelines/workflows
Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which include utilizing statistical models / algorithms and data visualization techniques
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Requirements
Bachelors/University degree or equivalent experience
