Actuary - Risk Consulting & Analytics Solutions
Role Description & Technical Scope
In this Actuary role, you will drive analytics-driven risk insights within Marsh’s Risk Consulting & Analytics Solutions team. You’ll apply actuarial and analytical expertise to challenging risk challenges for a global client base, collaborating with leaders across Marsh Specialty. The role combines model development, analytics platform work, and high-impact consulting deliverables. You’ll join a collaborative, growth‑oriented environment with opportunities to shape analytics in a leading global organization.
Pay / Benefits- professional development opportunities
- supportive leadership
- vibrant and inclusive culture
- career growth within a global organization
- benefits and rewards to enhance well-being
- hybrid work with office anchor days
- Support analytics platform deployment across key divisions (Aviation, Construction, Credit Specialties, Energy & Power, FINPRO, Marine, PEMA) in collaboration with business leaders and analytics colleagues
- Drive engagement of Marsh Risk Consulting analytics offerings with Marsh Specialty UK&I clients
- Lead and support analytics project delivery to achieve strong client outcomes and quality results
- Assist UK&I sales and client service with clear results presentation, methodological explanations, and practical recommendations
- Collaborate with Marsh global teams to share best practices and embed them across the business
- Strong analytics or actuarial background, ideally in risk management or commercial insurance
- 4+ years of relevant experience in model development, risk management, retail insurance, actuarial practice, or advisory/consulting
- Proficiency in MS Excel and at least one programming language
- Strong presentation skills and experience delivering consulting projects
- Solid working knowledge of commercial specialty insurance programs
- Collaborative mindset
- Strong communication and presentation skills
- Client-facing advisory capabilities
- MS Excel proficiency
- Programming language (Python or R)
- Stochastic modelling (advantage)
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Key Details
- Date Posted: 11 Oct 2026
- Location: london
- Employment: Permanent
- Workplace: Hybrid
- Domain: General
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Marsh
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