Marsh McLennan · 21 hours ago
Actuarial Modeling & Technical Manager
Chicago - 155 Wacker
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $150K/yr
3+ years expOliver Wyman is a global leader in risk management consulting, and they are seeking an Actuarial Modeling & Technical Manager to join their Actuarial Modeling, Analytics & Transformation team. The role involves developing and operationalizing actuarial models and workflows while collaborating closely with engineering teams.
Financial ServicesProfessional ServicesService Industry
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
Qualification
Required
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, etc.) 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
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
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
Benefits
Performance-based incentives
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs
Company
Marsh McLennan
Marsh (NYSE: MRSH) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh Risk, Guy Carpenter, Mercer and Oliver Wyman.
10001+ employees
H1B Sponsorship
Marsh McLennan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (8)
2022 (6)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$11.2B2024-10-30Post Ipo Debt· $7.25B
2024-02-14Post Ipo Debt· $1B
2023-09-06Post Ipo Debt· $1.6B
Leadership Team
Joe Hayes
Senior Vice President, COO Private Client Services
Katherine Brennan
SVP & General Counsel
Recent News
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