Empowering USAA members to achieve financial security through competitive products, exceptional service, and trusted advice by developing and implementing AI/ML modeling solutions
Requirements
- 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models
- 4 years of experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models
- Experienced ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code clarity)
- Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc
- Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc
- Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, forest models, etc
- Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc
Responsibilities
- Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business
- Leads and conducts advanced analytics using machine learning, simulation, and optimization to deliver business insights and achieve business objectives
- Guides team on selecting the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs
- Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework
- Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences
- Partners with business leaders from across the organization to proactively identify business needs and proposes/recommends analytical and modeling projects to generate business value
- Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code
Other
- Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field
- 8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative subject area and 6 years of experience in predictive analytics or data analysis
- Must be able to work in the office 4 days per week
- USAA does not provide visa sponsorship for this role
- Relocation assistance is available for this position
