Actuary, Data Science, Reserving
Liberty Mutual
Accounting & Finance, Data Science
Boston, MA, USA
Actuary, Data Science, Reserving
- ID
- 2026-75639
- Position Type
- Full-Time
- Job Grade
- 18
- Department
- 001S-07820 USRM Actuarial Reserving
- Market
- US Retail Markets
- Referral Bonus Amount
- 1500
- Minimum Salary
- USD $120,000.00/Yr.
- Maximum Salary
- USD $225,000.00/Yr.
- Typical Starting Salary
- $140,000-$175,000
- Travel
- 10%
- Recruiter
- Jacqueline Stone
- Referral Bonus Eligible?
- Yes
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-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.
Employees may apply for a new role after completing 12 months of employment in their current position.
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