Job Description
Description Are you an actuary who finds yourself thinking "there has to be a better way to do this" — and then actually going and building it? If so, we want to talk to you. We're looking for a motivated, intellectually curious, and technically sharp actuary to join our Actuarial Data Science team that lives in the Reserving Department in a role unlike any traditional reserving position. You won't be running regular reserving analyses — you'll be reimagining how the numbers get run. This is a ground-floor opportunity to reshape the way our reserving department operates, automating legacy workflows, eliminating manual processes, and building the analytical infrastructure of the future. **This position may have in-office requirements dependent upon candidate location.** Responsibilities: Analyze & Identify – Conduct a deep dive into existing reserving workflows and analyses to identify inefficiencies, bottlenecks, and automation opportunities. Build & Automate – Design, develop, and deploy automated solutions using Python and other modern tools to replace manual, time-intensive processes. Innovate on Analytics – Elevate existing actuarial analyses through automation, enhanced data pipelines, and dynamic reporting capabilities. Collaborate Cross-Functionally – Partner with actuaries, data engineers, and IT teams to ensure solutions are scalable, sustainable, and well-integrated. Document & Educate – Build robust documentation and champion best practices, empowering the broader team to leverage and maintain automated tools. Stay Ahead of the Curve – Continuously explore emerging tools, technologies, and methodologies to keep our capabilities on the cutting edge. Strongly Preferred: Hands-on reserving background – Deep familiarity with loss reserving methods, triangles, development patterns, and actuarial review cycles. Programming proficiency – Meaningful experience with Python (e.g., pandas, NumPy, openpyxl, or similar libraries) and/or other automation tools. Problem
