Catastrophe Modeling Analyst; Mid-level

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.

As part of Catastrophe Modeling team in the P&C Catastrophe Risk Management organization, this individual will run catastrophe modeling software, validate that modeled loss results are appropriate for USAA's property and auto lines of business, understand and communicate nuances behind modeled loss results, recommend and apply overlays or adjustments as needed, improve processes, and maintain strong model documentation.

This role will work collaboratively with other areas, such as Pricing, State Management, Product Management, Exposure Analytics Team, Underwriting, CFO Forecast & Planning team, and Reinsurance team, to achieve the best possible business solutions to quantify and manage USAA's catastrophe risk.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60‑mile radius of a USAA office will be expected to work on-site four days per week.

• Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with impact to current and/or future business strategy.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
• Translates recommendation into communication materials to optimally present to colleagues for peer review and mid-to-upper-level management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and captures the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and embraces emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility…