Insurance Executive

Stride Resource Management Ltd
Peterborough
10 months ago
Applications closed

Related Jobs

View all jobs

Staff / VP, Machine Learning Engineer (UK)

Staff / VP, Data Scientist (UK)

Senior Machine Learning Engineer

Lecturer in Digital Innovation and Artificial Intelligence

Data Scientist KTP Associate

Geospatial Data Scientist

Insurance Executive - Commercial Insurance

Working in a New Business that is taking Artificial Intelligence into Commercial Insurance

Peterborough based - Office Based Role

Salary between £30k and £40k depending on experience and role

 

Are you ready for a new and exciting experience ?

Do you want a position in a new Tech based business as it goes to launch ?

Do you want to keep ahead of the pack with new technology in Commercial Insurance ?

Back by a multi-national insurance firm, the business is launching a new way of buying SME and Commercial Insurance, with minimal transactional info, and minimal input - using a plethora of data points to make it happen.

 

The Role

  • The business needs individuals with 3-5 years of Commercial insurance at an SME / Commercial level - broking or underwriting -  to assist with 'referrals' out of the platform, or to assist Clients with more complex needs
  • The role will be desk-based, using chat-not or tele to help close deals
  • The more senior role will also help position queries with Tech dept and Founders to continually improve the output

 

The Benefits

  • A Salary of between £30k and £40k depending on seniority
  • A Bonus aligned to achievement and growth
  • Pension, Death In Service and a Holiday entitlement of 25 days

You

  • You will have that 3-5 years' Commercial insurance experience
  • You will be exceptionally adaptable, working to an ever-changing and improvement environment
  • You will enjoy working in a fast-paced environment, and excel when you are at your busiest
  • You will be excited by a new challenge to forge what could be a huge career path
  • You will wish to work in such an environment full time, 5 days a week in the hub in Peterborough

For more details, contact Neil Findley or Dan Falcini at Stride Resource Management

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.