Assistant Claims Adjuster, Speciality

CFC
London
1 year ago
Applications closed

Related Jobs

View all jobs

Claims Data Scientist

Data Scientist

Data Scientist

Data Scientist

Geospatial Data Scientist

Data Scientist

Assistant Claims Adjuster, Speciality

Here at CFC, Assistant Claims Adjusters are at the core of our Claims function. Our assistants will have the opportunity to become subject matter expert in Speciality claims (Property & Casualty, General Liability, Healthcare or Professional Indemnity) and work closely with various internal stakeholders including our Underwriting, finance , IT and products team from your first day in the department.
 
We are seeking a conscientious and hardworking professional that is looking for an opportunity in the Speciality Claims space. This role is ideal for someone who is looking to start their career in a claims team with a view to becoming a claims adjuster.
 
This opportunity offers you an excellent entry into the world of claims and provides invaluable training handling claims experience across various jurisdictions.

Department Specialty Claims Employment Type Permanent - Full Time Location London Workplace type Hybrid Reporting To Kate Devenish

About the role

This Assistant Claims Adjuster position will be involved in general claims administrative duties, supporting the wider team on an ongoing basis. This individual will also be responsible for: Proactively handle a caseload of Speciality claims under the supervision of members of the claims team in accordance with CFC Claims Handling Guidelines. Execute excellent administrative duties across various platforms. Identify and escalate claims-related issues to the Team Leader or relevant team member. Ensure CFC’s claims department continues to act as an effective TPA for its capacity providers in accordance to binding authority SLAs & claims handling agreements.

About you

This role will suit an individual who has a keen interest in claims and enjoys an ever changing environment, prior insurance claim handling experience in the Lloyds market would be desirable but not required. As well as having excellent organisation skills, you will put the customer at the heart of everything you do. 

Core Values

Love what you do:
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.

Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.

Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.

About CFC

CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk.

Headquartered in London with offices in New York, Austin, Brussels and Brisbane, CFC has over 800 staff and is trusted by more than 100,000 businesses across 90 countries.

At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future.

CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.

Our Hiring Process

Stage 2:

Phone screening

Stage 3:

First stage interview

Stage 4:

Second stage interview

Stage 5:

Hired

Stage 1:

Applied

Stage 2:

Phone screening

Stage 3:

First stage interview

Stage 4:

Second stage interview

Stage 5:

Hired

Stage 1:

Applied

Stage 2:

Phone screening

Stage 3:

First stage interview

Stage 4:

Second stage interview

Stage 5:

Hired

Don't worry if you don't see any roles you want to apply for now. Register your interest so we can contact you when a suit role comes along

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.