Analyst - Cyber Performance Management

CFC
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Power BI Specialist

Data Analyst - Farming Operations

Data Analyst Placement Programme

Data Analyst

Data Analyst Placement Programme

Data Analyst

Analyst - Cyber Performance Management

Opportunities like this don’t come up every day! CFC’s market-leading cyber insurance policies, unrivalled cyber incident response and best-of-breed cyber risk management technology make us an attractive employer for someone with cyber security understanding but also likes to look at the bigger picture, providing insights and quantifying how it makes a real difference in protecting our Cyber Insurance clients. 

We’re currently looking for a self-starting individual who can join our Performance Management team to work closely with CFC’s incredible cyber threat analysis, vulnerability and threat detection service – Proactive Cyber. Department Actuarial, Pricing & Analytics Employment Type Permanent - Full Time Location London Workplace type Hybrid Reporting To Samantha Tanner

About the role

You will bridge the gap between the Proactive Cyber team, the professionals here that proactively work to prevent cyber incidents, and our Performance Management team, who analyse the underwriting performance of our insurance products. 

You will be responsible for interpreting patterns to evaluate existing data and discovering new metrics and insights on how we can reduce claim frequency and severity for our Cyber Insurance clients. You will also work across the business with our Incident Response, Underwriting, Claims and Marketing teams to gain a holistic understanding of the insurance ecosystem. 

This role involves lots of problem solving, statistical analysis, research and presenting of data. It’s exciting, it’s investigative, and it’s entirely brand new!

About you

So what are we looking for? Well, we're really keen to learn more about your previous experience in Cyber Security, and hearing about your passion for data and statistics. Insurance experience is a plus but not essential. We’re looking for driven, self-starters with a strong work ethic and natural curiosity, who likes working in a collaborative, cross-functional environment.Has this piqued your interest? Register your interest and let's start the conversation, or click through to our website below to find out more!

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.