Actuarial Analyst

Marsh McLennan is hiring an Actuarial Analyst in London, United Kingdom. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Some of the work can be done remotely, according to the posting.
The posting mentions Excel, Python and R among its tools and skills.
Marsh McLennan has 647 other open roles on Level.
Posted within the past two weeks.

AI in this role

Deliver actuarial analytics, risk consulting, and model development for global insurance clients.

excelpythonr

actuarial-sciencerisk-managementmodel-developmentinsurance

Company:

Marsh

Description:

We are looking for a driven and technically strong Part or nearly Qualified Actuary to join our Risk Consulting & Analytics Solutions team based in London.

Within this role you will work with a diverse, global client base across Marsh Specialty divisions, bringing analytical rigor and consulting expertise to complex insurance and risk challenges. This is a high-impact role that combines model development, client advisory, and cross-functional collaboration at one of the world's leading insurance brokers.

This is a hybrid role that has a requirement of working at least three days a week in the office.

We will rely on you to:

Lead and support the delivery of analytics projects, ensuring high-quality outputs and client satisfaction
Support UK&I sales and client service — across both brokerage and consulting — through results presentation, methodology explanation, and actionable recommendations
Support Marsh UK&I efforts coordinating with business leaders and Risk Consulting & Analytics Solutions colleagues on model development
Drive engagement with Marsh Risk Consulting analytics offerings for Marsh Specialty UK&I clients
Collaborate with Marsh global teams to share and embed best practices

What you need to have:

A strong analytics or actuarial background, preferably within risk management or commercial insurance
A good working knowledge of General Insurance
Several years of relevant experience across areas such as model development, risk management, retail insurance, actuarial practice, and/or advisory or consulting roles
Solid proficiency in MS Excel and at least one programming language
Strong presentation skills and hands-on consulting project experience

What makes you stand out:

Proficiency in Python or R
Degree in statistics, mathematics, or engineering
Desire to complete IFOA Exams
Familiarity with catastrophe modelling
Understanding of Solvency II or capital modelling frameworks
Lloyd's or London Market experience
Client-facing project delivery in an advisory or consulting environment

Why join our team:

The opportunity to work with a diverse, global client base as part of the world's largest insurance broker
A varied and intellectually stimulating workload spanning pricing, digital tool development, and alternative risk modelling
An experienced, collaborative team with genuine opportunities to mentor and develop others
Competitive actuarial study support
Clear pathways to grow your career within a leading global organisation
The chance to make a tangible impact every day

#Hybrid

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

How we rate this

Actuarial Analyst at Marsh McLennan rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Actuarial Analyst is an open job at Marsh McLennan.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in London - Tower Place East and is marked remote.
The job was posted on October 21, 2026.
Seniority: mid.
Applications are handled by Marsh McLennan. Apply on Marsh McLennan

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Actuarial ScienceRisk ManagementModel DevelopmentInsuranceExcelPythonR

Questions you could be asked

Tell me about a project where actuarial science was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where model development was part of your work. What did you do?
Tell me about a project where insurance was part of your work. What did you do?
Walk me through how you've used Excel in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Actuarial Science, Risk Management, Model Development, Insurance, and Excel. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker