P&C Actuary

Job Summary: This role helps support Lockton's goal of providing clear, actionable insights for our clients. These insights are used to facilitate informed decision-making and deliver improved outcomes. The role is responsible for creating tailored solutions for individual clients as well as enhancing the Analytics group's brand, workflows, and capabilities. Job Responsibilities: Collaborate with internal and external stakeholders to understand needs, identify opportunities, and develop strategic solutions to clients' Property and Casualty challenges Work with various tools (Excel, VBA, Power BI, R, Python, SQL, etc.) to create sophisticated and scalable analytic tools and processes Leverage Lockton's data to answer ad hoc questions for internal and external audiences Create materials and trainings to enhance internal understanding of Analytics' capabilities and contribute to white papers / research articles to advance Lockton Analytics' brand in the market Remain informed on industry developments and effectively communicate the implications both internally and externally Work with analysts and other stakeholders to identify new or improved analytic solutions that solve business needs Communicate and explain complex analytic concepts to clients and internal associates Work with developers to embed actuarial methodologies in new proprietary Lockton applications Compile, analyze, interpret, and present data trends to guide decision-making Prepare a variety of analytic outputs based on client or prospect data, including loss projection and stratification, collateral analysis, simulation models, predictive models, claim dashboards, and other ad hoc report Requirements: Quantitative mindset as evidenced by a Bachelor's Degree in actuarial science, math, statistics, analytics, data science, computer science, finance, or other business-related degree Strong critical thinking and problem-solving skills Highly effective oral and written communication skills A strong desire to work collaboratively with others Proficiency with Microsoft Office products, particularly Excel Self-motivation - willingness to take initiative and ownership on projects ACAS or FCAS Prior experience with R, Python, and/or Power BI is preferred

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