Actuary, Risk Analytics & Consulting - Hybrid/Remote

Marsh Risk; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Marsh Risk in London seeks a driven Actuary to join the Risk Consulting & Analytics Solutions team, delivering analytics and consulting to Marsh’s global client base. You will work on model development, risk management, and advisory projects with a focus on commercial insurance solutions.

The role requires 4+ years in analytics/actuarial fields, solid Excel skills, and proficiency in Python or R. Collaboration across global teams and clear client communication are essential.

Qualifications

• Strong analytics or actuarial background, ideally in risk management or commercial insurance.
• 4+ years of relevant experience in model development, risk management, or advisory/consulting.
• Solid proficiency in MS Excel and at least one programming language.
• Strong presentation skills and hands-on experience delivering consulting projects.
• Solid working knowledge of commercial specialty insurance programs.

Responsibilities

• Support Marsh Specialty UK&I in deploying analytics platforms across aviation, construction, credit specialties, energy & power, FINPRO, Marine and PEMA.
• Drive engagement with Marsh Risk Consulting analytics offerings across Marsh Specialty UK&I clients.
• Lead and support the delivery of analytics projects with strong client outcomes and high-quality deliverables.
• Support UK&I sales and client service across brokerage and consulting through clear results presentation and actionable recommendations.
• Collaborate with Marsh global teams to share best practices and embed them across the business.

Skills

Programming language (Python or R)

MS Excel

Analytics background

Presentation skills

Education

Statistics/Mathematics/Engineering degree

Tools

MS Excel

Job description

Marsh Risk in London seeks a driven Actuary to join the Risk Consulting & Analytics Solutions team, delivering analytics and consulting to Marsh’s global client base. You will work on model development, risk management, and advisory projects with a focus on commercial insurance solutions.

The role requires 4+ years in analytics/actuarial fields, solid Excel skills, and proficiency in Python or R. Collaboration across global teams and clear client communication are essential.