Lead MIAM Model Governance

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Lead MIAM Model Governance, you will be establishing and overseeing a robust model governance program. This role will ensure the effective development, deployment, monitoring, and maintenance of all models used within the organization, aligning with the model risk management framework and regulatory requirements. This position requires a deep understanding of model development lifecycle, risk management, and data governance principles.

Translates business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages' database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is available for this position.

What you'll do:

• Gathers, interprets, and manipulates complex structured and unstructured data to enable advanced analytical solutions for the business.

• Leads and conducts advanced analytics demonstrating 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. Works with business and analytics leaders to prioritize analytics and highly complex modeling. problems/research efforts.

• Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are clear and based on the highest quality data.

• Assists team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations.

• Leads project portfolio landmarks, risks, and impediments. Anticipates potential issues that could limit project success or implementation and intensifies as needed.

• Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.

• Interacts with internal and external peers and management to maintain expertise and awareness of pioneering techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.

• Serves as a mentor to data scientists in modeling, analytics, computer science, business insight, and other interpersonal skills.

• Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.

• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, scien