Personal Lines Pricing/Underwriting Associate Director

WTW
London
1 year ago
Applications closed

Related Jobs

View all jobs

Pricing Data Scientist

Pricing Data Scientist

Pricing Data Scientist

Senior Geospatial Data Scientist

Data Science Lead

Senior Data Scientist

We are looking for an experienced senior pricing practitioner, with specific experience in the UK general insurance personal lines market to join WTW as a Personal Lines Pricing Associate Director. You will join our UK and Ireland general insurance practice within the wider Insurance Consulting and Technology (“ICT”) division, to help us to grow and develop our pricing advisory capability. You will work beside some of the market’s top thought leaders designing and implementing cutting-edge solutions to the pricing and underwriting challenges faced by the UKs leading general insurers and intermediaries.

In your role you will be helping our broad range of UK personal lines pricing and underwriting clients by:

Delivering best in class pricing and underwriting capability and process reviews Designing appropriate pricing analytics and helping to build effective pricing models, tools and processes using a wide range of data science techniques Supporting the design and delivery of appropriate underwriting approaches in line with client portfolio management strategy Designing and building sophisticated MI and portfolio management capabilities Leveraging your market knowledge in developing cutting edge personal lines pricing solutions in collaboration with various teams from across WTW

The Role

To build and develop a market profile as a representative and advocate of WTW pricing consulting services and technology solutions Manage workstreams within large projects, overseen by senior colleagues but with responsibility for communication with clients and the day-to-day running of projects Work collaboratively across a range of projects and internal management and innovation responsibilities, managing priorities and resources appropriately Develop a trusted advisor relationship with client contacts through effective communication and efficient, high quality execution of client work Willingly and energetically become involved across a variety of work to ensure that a broad skill set (technical, management and client) is maintained and developed Interface with colleagues from other specialisms, practices and regions on assignments that reflect a client’s broader business challenges and needs Contribute to the development of the company’s intellectual capital including the plans for taking this to market Develop and present proposals to potential clients, demonstrating the commercial value of our offerings Build relationships internally and collaborate effectively on cross-functional teams Opportunity to serve as line manager or mentor to more junior associates

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.