Actuary (Data Science & Reserving)

Job 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.

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-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.

Nice-to-haves:

• 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.

Who You Are:

• 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.

Qualifications:

• 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.

Fair Chance Notices:

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco