Empowering USAA members to achieve financial security through highly competitive products, exceptional service, and trusted advice by leveraging artificial intelligence/machine learning (AI/ML) and advanced analytics solutions
Requirements
- 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.)
- Subject matter expert in the concepts and technologies associated with classical supervised modeling for prediction
- Subject matter expert in the concepts and technologies associated with unsupervised modeling
- Deep hands-on experience building, deploying, and managing the performance of advanced analytics solutions
- Experience with machine learning and NLP and generative AI
- Hands-on experience developing agent-based AI solutions tailored for banking use case
- Experience in a lead capacity in technology research, strategy, and implementation in the areas of Generative AI development
Responsibilities
- Identifies, researches, and defines large-scale, cross-functional AI/ML use cases in collaboration with business leaders, executive peers, and strategic partners
- Applies deep expertise to amplify the impact of modeling techniques on emerging business initiatives
- Ensures that AI/ML solutions are built using industry best practices, and sound methodology
- Designs large, complex information assets that enable applied analytics
- Seeks opportunities to simplify, modernize, and standardize the model development lifecycle
- Provides technical oversight for building and maintaining a robust library of reusable, production-quality algorithms and supporting code
- Develops and maintains academic and industry relationships for research purposes
Other
- Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline
- 10 years of progressive experience in predictive analytics or data analysis
- Extensive project management experience
- Demonstrated experience in guiding and mentoring junior technical staff
- Must be in the office 4 days per week
