Senior Actuarial Analyst
Berkley
Senior Actuarial Analyst – Research & Innovation Responsibilities Maintain and improve MEC's pricing model and account testing system, ensuring accuracy and scalability. Lead research-driven projects that advance company strategy, including predictive modeling and Generative AI initiatives. Lead and coordinate complex actuarial analyses for pricing, modeling, and research functions. Collaborate with Actuarial leadership on innovation opportunities and special projects. Ensure data integrity and optimize processes for efficiency and accuracy. Communicate complex findings clearly to technical and non-technical stakeholders. Provide exposure and support to Reserving functions, with potential for future rotation. Stay current on emerging technologies and actuarial best practices. Qualifications Bachelor's or master's degree in mathematics, statistics, actuarial science, or a related quantitative field. Pursuit of actuarial designation through the Casualty Actuarial Society or Society of Actuaries (General Insurance track only) is required (CAS preferred). 5+ years related work experience preferred. Advanced knowledge in actuarial reserving and ratemaking methodologies. Strong programming skills in SQL and Python (required). Experience with predictive modeling techniques and Generative AI applications preferred. Familiarity with business intelligence and related tools (Power BI) a plus. Experience with programming collaboration tools like Git a plus. Advanced analytical and problem‑solving skills. Excellent communication skills, able to convey technical concepts clearly. Ability to manage multiple priorities and deliver results in a dynamic environment. Collaborative mindset with a passion for innovation. Work Conditions Location: Chesterfield, MO Hybrid work environment #J-18808-Ljbffr Berkley
Vacancy posted 5 days ago
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