Actuary, Data Science, Reserving

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.

• 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.

• 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, Num Py, openpyxl, or similar libraries) and/or other automation tools.
• Problem‑solving mindset – Demonstrated ability to look at a complex manual process and engineer a smarter solution.
• Self‑starter attitude – You don't wait to be told what to build next; you identify the need and get to work.

• Experience with workflow automation tools (e.g., SQL, VBA, R, Power Automate, or similar).
• Familiarity with version control systems such as Git.
• Exposure to data visualization tools (e.g., Power BI, Tableau, or Python‑based dashboards).
• Experience working in an Agile or iterative development environment.

• Intellectually Curious – You love learning new skills and aren't afraid to venture outside your actuarial comfort zone.
• Driven & Motivated – You set high standards for yourself and take pride in delivering quality work.
• Builder Mentality – You're energized by creating things that didn't exist before and seeing others benefit from your work.
• Clear Communicator – You can translate complex technical concepts for both actuarial and non‑technical audiences.
• Detail‑Oriented, Big‑Picture Thinker – You sweat the details without losing sight of the broader strategic goal.

• Bachelor's degree required;
  Master's degree preferred.
• Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience.
• Minimum 5‑7 years relevant experience required.
• Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc.
• Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization.
• Ability to motivate and mentor peers and motivate and train subordinates.
• Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models.

Pay Philosophy:
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national…