Actuarial Modeling & Technical Manager

Marsh McLennan • Boston, NY

10d • Hybrid

About The Position

Oliver Wyman’s US P&C Actuarial Consulting Practice is hiring an Actuarial Modeling & Technical Lead to join our Actuarial Modeling, Analytics & Transformation team. The role focuses on hands-on development, validation, and operationalization of actuarial models and workflows, understanding actuarial & business requirements and converting those into production ready code and tools. The Actuarial Modeling & Technical Lead will partner closely with engineering to deliver auditable, reproducible actuarial solutions. Candidates should combine strong P&C actuarial experience with practical software skills, and an appetite for AI-enabled development. The role requires deep hands-on actuarial modeling experience in pricing, underwriting, claims and/or reserving (model building, rater build, actuarial process improvement, accelerators and tool builds, etc.)

Requirements

• Fellowship in a recognized actuarial body (e.g., FCAS/FIA) or equivalent senior actuarial qualification.
• 3+ years of P&C actuarial experience in consulting or insurance with hands‑on work in pricing, reserving, or claims analytics.
• Demonstrated experience in P&C modeling, building predictive models (e.g. regression type, GLM/GMB-type, advanced machine learning models, ect.) for frequency/severity, loss cost, and other relevant actuarial use cases.
• Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous.
• Excellent communication skills and demonstrated ability to translate complex technical work into clear business recommendations.
• Intellectual curiosity, self-motivation, and the ability to deliver against tight deadlines in a client facing consulting environment.

Nice To Haves

• Experience with Git/GitHub and Databricks preferred.
• Familiarity with cloud ML and data platforms (Azure ML) and ML Ops practices a plus.
• Experience with visualization tools (Power BI, matplotlib/ggplot) and dashboarding a plus.

Responsibilities

• Build, test, document, and maintain actuarial logic implemented in code (Python/R) or modeling platforms, ensuring reproducible, version-controlled workflows.
• Design and implement end-to-end actuarial workflows across pricing, reserving, underwriting, and claims analytics; create developer-ready specifications and technical documentation.
• Leverage AI-assisted development tools, cloud platforms and machine learning algorithms to improve modeling, code generation, automated testing, and documentation while maintaining actuarial governance and correctness.
• Perform exploratory data analysis, validate data pipelines (SQL, Databricks, Azure), and turn complex datasets into clear recommendations with client-ready reporting, dashboards & relevant visualizations.
• Act as the liaison between actuarial subject matter experts and engineering teams: translate actuarial specifications into technical requirements, review implementations, and validate via unit and integration tests.
• Contribute to practice tooling, best practices, and business development; represent the practice at industry events.

Benefits

• Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance.
• We also offer an impressive array of benefits.
• Explore all the benefits offered at US Benefits | Marsh McLennan.
• health and welfare benefits
• tuition assistance
• 401K savings and other retirement programs
• employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees