Climate Scientist Analyst I (Mid-Level) – P&C Climate Risk and Exposure Analytics

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

This role is remote eligible, however, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

The Climate Risk and Exposure Analytics team is situated in the Actuary & Analytics group within USAA’s P&C business. The team works closely with the Catastrophe Risk Management team and seeks to develop the associations long term strategy under a changing climate.

The Climate Scientist Analyst provides practical modeling solutions which link cutting-edge weather modeling and climate science to business strategy. By applying advanced atmospheric-science techniques and innovative quantitative-analytics approaches, the role delivers insight-to-action recommendations on how a changing climate will impact catastrophe losses and member resilience.

What you’ll do:

• 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 solve business problems related to extreme events and climate change with significant 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 effectively 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 gathers 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.

• Identifies opportunities to continue to learn in the data and analytics, climate change and catastrophe modeling space, whether informal (E.g., Coursera, Udemy, etc) or formal (E.g. Certifications or advanced coursework, for example GARP SCR, ISCM CSCR, Verisk CEEM, Moody’s RMS CCRA).

• 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 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 (i.e. P&C, Bank, Finance).

• Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

• Intermediate and some advanced