Modeling and Machine Learning Scientist Lead - Model Risk and Governance
Company: United Services Automobile Association
Posted on: March 16, 2023
Let's do something that really matters.
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members.
We believe in our core values of honesty, integrity, loyalty and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special!
We are seeking a dedicated Modeling and Machine Learning Analyst Lead for our following office locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO, Charlotte, NC or work remotely in the continental U.S. with occasional business travel.
What you'll do:
The Model Risk and Governance Lead will play a central role in creating and maintaining the USAA Bank Risk Governance framework for models consistent with business and regulatory requirements. Assist the Bank Model Governance Committee in meeting model risk oversight requirements. Collaborate with senior management and colleagues in business and staff functions, independent risk management, legal and compliance in leading the annual process to revise model risk policies, procedures, and standards. Perform subject matter authority reviews of models to ensure they meet model risk management requirements. Handle monitoring of model risk policy requirements and related metrics and escalate breaches. Design and deliver training to partners on policies, procedures, standards, and systems.
Leads the development, review, and / or implementation of entire model lifecycle. Leverages advanced modeling and machine learning techniques to solve important business problems. Communicates insights and business impact of model-based solutions to partners. Keeps models well managed and aligned with USAA model risk policy and regulatory expectations. Builds tools or capabilities for the future by researching powerful new data sources, latest algorithms or standard processes in model risk.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
What we offer:
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. The salary range for this position is: $ 115,240.00 - $ 220,270.00 .
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Keywords: United Services Automobile Association, Plano , Modeling and Machine Learning Scientist Lead - Model Risk and Governance, Other , Plano, Texas
here to apply!