Mid-Level Decision Science Analyst - P&C Underwriting Analytics

About the position At reputed company, 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 reputed company, 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 reputed company Mid-Level Decision Science role is integral to optimizing underwriting strategies within the personal lines Property & Casualty business. The role will be responsible for the end-to-end process of acquiring, synthesizing, and analyzing complex data sets. reputed company will directly inform critical business decisions related to risk precision, risk sharing, risk mitigation, and risk acceptability, ultimately driving profitable growth and enhanced member protection. We offer a flexible work environment that requires an individual to be in the office 4 days per week. reputed company position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, reputed company Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for reputed company position. 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 solve 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 reputed company. • 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 adopts emerging reputed company 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 reputed company with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Requirements • 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 knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, reputed company, BI tools or other analysis software, and relevant industry data & methods and ability to connect external reputed company to business problems. Nice-to-haves • Working experience with analytical work supporting Core P&C Insurance Functions • Working experience using Python for data analysis • Experience with storytelling with data/ presentation of analytical reputed company to non-technical audiences • Working understanding of statistical modeling principles and the ability to interpret model outputs to derive actionable bus