2027 Actuarial Insurance Consulting Graduate Programme, Property & Casualty

Description

With 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our Insurance Consulting and Technology (ICT) team, you’ll be part of our impact right from the start.

Our ICT team uniquely combines deep insurance consulting expertise with innovative technology. We work across all major actuarial pillars within Property and Casualty ("P&C") - reserving, capital, and pricing - as well as broader areas such as data science, process transformation, risk and regulatory, climate, exposure management, underwriting and claims analytics, involving both client projects and research and product development.

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Responsibilities:

Working with and learning from some of the market’s leading experts, you’ll become part of multiple, varied client projects from day one. Full support is also available for those pursuing actuarial qualifications through the Institute and Faculty of Actuaries.

In this role, you will:

• Use actuarial and statistical modelling techniques to analyse data and produce insightful results for clients
• Present your analysis both internally and to clients
• Collaborate with colleagues in the UK and globally to tackle real-world actuarial problems
• Build your core technical and consulting skills through hands-on experience and team support
• Learn and apply open-source tools and technology, alongside WTW’s own proprietary insurance technology solutions, used widely by the insurance market.
• Grow through structured early-career training and ongoing learning from subject matter experts in the team

Qualifications

• Highly numerate and analytical, with the ability to solve complex and challenging commercial problems using innovative and proportionate approaches
• A clear and confident communicator who can make complicated ideas understandable and engaging for a range of audiences
• Personable, approachable and motivated to work as part of a supportive team
• Comfortable using AI tools to support work, with an understanding of their strengths and limitations
• Someone with an interest in AI, data science and emerging technologies, and an aptitude for exploring and applying new approaches to solve problems
• At least a 2:1 degree-qualified, A-level Mathematics at grade A or above, and at least 136 UCAS points across three A levels, or equivalent qualifications. For example, AAB or A*AC would meet the overall points requirement

Please note that we do not accept multiple applications and you should only select and apply to one programme per year.

Workstyles:

We believe in the value of in-person learning at this early stage of your career, so you’ll be expected to come into the office at least four days a week. You’ll be based in our London, Reigate or Cambridge office. Your office location will be agreed with you during the onboarding process. Regardless of your allocated office, you may be expected to travel to other WTW offices for team or client meetings.

The Application Process:

• Stage 1: Apply online and attach your CV
• Stage 2: Complete an online test and video interview
• Stage 3: Attend an in-person assessment centre in our London office, where you’ll meet the team.
• Stage 4: Offer and onboarding

We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com.

We are committed to maintaining a fair and equitable process for all candidates.

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