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As an Actuarial Analyst I, you will apply actuarial methodologies to support pricing modernization efforts, analyze data trends, communicate findings, and lead initiatives to ensure compliance and improve processes. You’ll use statistical techniques and tools like Python and SQL.

As a Development Product Owner Senior, you will represent the business on an agile team, writing and refining user stories, prioritizing work, and mentoring technical teams. You will facilitate communication among stakeholders to ensure effective solutions are aligned with business strategy while managing the product backlog and maintaining oversight of development processes.

The Ethics Advisor Senior leads USAA's Ethics Programs by managing communication, compliance monitoring, and investigating ethics-related allegations. Responsibilities include advising management on ethical issues, overseeing training, assessing risks, and ensuring adherence to laws and regulations related to ethics. The role involves collaboration with cross-functional teams to promote ethics as a strategic initiative.

The Creative Product Marketing Lead at USAA will develop and implement marketing strategies and creative assets to support the rollout of Automation and AI strategies for Enterprise Risk & Compliance. Responsibilities include leading marketing communication strategies, collaborating with stakeholders, managing marketing campaigns, and ensuring compliance with product regulations.

The Compliance and Operational Risk Testing Analyst executes independent testing under enterprise methodology, ensuring processes align with regulations. They compile documentation and create written reports that detail issues found along with root causes and recommendations for corrective actions.

The CPM Strategy Lead is responsible for developing and managing the creative marketing communication strategy for USAA's insurance products, ensuring timely delivery of creative assets while collaborating with internal teams and external partners to meet business objectives and foster innovation in marketing.

The Data Scientist Lead will translate business problems into advanced analytical solutions using machine learning, statistical models, and optimization techniques. This role involves collaboration with engineering partners, managing model risk, and maintaining a library of reusable algorithms. The individual will lead analytics projects, guide team members, and communicate insights effectively to business stakeholders.