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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Actuarial Modeling & Technical Manager

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A fellowship in a recognized actuarial body, such as FCAS or FIA, or an equivalent senior actuarial qualification is required.
  • At least three years of property and casualty actuarial experience in consulting or insurance, with hands-on work in pricing, reserving, or claims analytics, is required.
  • Demonstrated experience in property and casualty modeling and building predictive models, such as regression-type, generalized linear model, or advanced machine-learning models, for frequency/severity, loss cost, and other actuarial use cases is required.
  • Strong technical skills with actuarial tools are required; experience with Python, R, or SQL is advantageous.
  • Excellent communication skills and the ability to translate complex technical work into clear business recommendations are required.
  • Intellectual curiosity, self-motivation, and the ability to deliver against tight deadlines in a client-facing consulting environment are required.

Responsibilities

  • Build, test, document, and maintain actuarial logic implemented in code 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.
  • Use 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 using SQL, Databricks, and Azure, and turn complex datasets into clear recommendations with client-ready reporting, dashboards, and visualizations.
  • Act as the liaison between actuarial subject matter experts and engineering teams by translating actuarial specifications into technical requirements, reviewing implementations, and validating them via unit and integration tests.
  • Contribute to practice tooling, best practices, and business development; represent the practice at industry events.

Desired Qualifications

  • Experience with Git/GitHub and Databricks is preferred.
  • Familiarity with cloud machine-learning and data platforms, including Azure ML, and machine-learning operations practices is a plus.
  • Experience with visualization tools such as Power BI, matplotlib, or ggplot and with dashboarding is a plus.

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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