Actuary, Data Science, Reserving
Role details
Job location
Tech stack
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., * 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.
Requirements
- 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., * 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.