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
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, or Tampa, FL.
Relocation assistance is available for this position.
We are seeking a highly skilled Data Scientist Senior to join our dynamic and growing Modeling Factory team within the Underwriting & Pricing Analytics department. This is a unique opportunity to significantly impact the P&C organization by maintaining and enhancing our advanced pricing and demand models across all lines of business.
You will play a pivotal role in transforming our pricing and underwriting capabilities, driving speed, consistency, and responsiveness through scalable, modular processes. By leveraging cutting-edge techniques, fostering collaboration with key business partners, and championing automation, you will directly contribute to our vision of providing robust, data-driven insights that enable precise decision-making and performance monitoring to positively impact our members.
What you'll do:
- Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.
- Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
- Selects 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 assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.
- Assesses business needs to propose/recommend analytical and modeling projects to add business value.
- Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.
- Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.
- Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.
- Manages project milestones, risks, and impediments.
- Escalates potential issues that could limit project success or implementation.
- Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
- Maintains expertise and awareness of cutting-edge techniques.
- Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
- Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.
- Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.
- Ensure 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, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 6 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 discipline and 4 years of experience in predictive analytics or data analysis.
- 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.
- 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.
- Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
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