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USAA · 23 hours ago

Catastrophe Modeling Analyst (Mid-level)

Tampa, FL

Full-time

Hybrid

Mid Level

$94K/yr - $169K/yr

4+ years exp

USAA is committed to empowering its members to achieve financial security and seeks a Catastrophe Modeling Analyst for its P&C Catastrophe Risk Management organization. The role involves running catastrophe modeling software, validating loss results, and collaborating with various teams to manage catastrophe risk effectively.

BankingFinancial ServicesInsuranceVenture Capital

No H1B

Responsibilities

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

Qualification

Catastrophe modelingData analysisStatistical techniquesSQLData visualizationPythonLearning agilityProcess improvementsRisk managementEmerging technologyVendor catastrophe modelsCertificationsProject managementCommunication skillsProblem solvingCollaborationInitiativeDocumentation

Required

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 proficiency in mathematical and statistical techniques and approaches used to drive fact-based decision-making

Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems

Preferred

Advanced Degree in an Engineering field, Climate Science field, Mathematics or Statistics

4 years of catastrophe model development and/or validation experience, deep understanding of catastrophe models, experience modifying catastrophe models or their output to improve quantification of risk of loss, and/or experience developing/implementing full solutions to quantify catastrophe risk by deploying probabilistic models in conjunction with risk scoring models and other analytical tools

Experience developing and/or using vendor catastrophe models, such as Verisk/AIR, KCC, Cotality/CoreLogic, or Moody's/RMS

Experience demonstrating strong learning agility, creative problem solving, project management skills, ability to identify and implement process improvements, strong written and verbal communication skills, and initiative

Ability to work in collaboration with the team and with external business partners, as well as an ability to work independently

Certified Catastrophe Risk Management Professional (CCRMP) or Certified Specialist in Catastrophe Risk (CSCR) credentials are a plus

Experience programming in Python

US military experience through military service or a military spouse/domestic partner