Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Underwriting Quality

Charing Cross
5 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Head of data engineering - remote

Head of Data Engineering

Head of Data Engineering and Informatics

Head of Data Science – Research & Development

About The Role
Team – Underwriting & Claims - Life
Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. 
We are happy to discuss flexible working!
Top 3 skills needed for this role:

Excellent communication, influencing & people management skills
Proven track record of innovation and development of underwriting
Excellent working knowledge of regulatory procedures/requirements within the Protection industryWhat this role is all about:
The Head of Underwriting Quality is responsible for the strategy, development, management and monitoring of referred-business underwriting philosophy and quality. This includes responsibility for managing, analysing, innovating and reporting on: evidence used for underwriting; underwriter accreditation, underwriting QA, post-issue sampling; reinsurance audits and retrospective claims underwriting. The purpose of the role is to ensure that underwriting at VitalityLife provides a robust risk control in an efficient, forward-thinking and customer-friendly way. 
Key Actions

Define, articulate and pursue the delivery of the underwriting strategy as it relates to referred-business underwriting quality and philosophy.
Manage the underwriting QA function to maintain underwriting quality and adherence to philosophy in line with reinsurance agreements and underwriting manuals.
Manage the  framework and process for the granting of operational underwriting authorities.
Manage the post-issue underwriting sampling & reporting processes to manage misrepresentation & process risks.
Manage reinsurer underwriting  relationships – changes to manual underwriting philosophy, oversight of reinsurer audit programme, reporting of post-issue sampling and internal underwriting QA, input to reinsurance tenders, reporting of operational risk.
Manage the medical evidence strategy and sourcing for underwriting.
Works in conjunction with underwriting operations to see that best practice is maintained (e.g. adhering to philosophy, the minimising of excess medical evidence, tele-underwriting).
Ensure the Underwriting Intranet site is up to date as a single point of reference for underwriting philosophy, provides clarity for underwriters.
Works closely with the underwriting automation team to ensure philosophy is aligned across both.
Work with business heads and risk teams to investigate and prevent any processes giving rise to operational underwriting risk– help the business understand the risk and drive solutions.
Provide retrospective underwriting opinions for claims. Report on the referrals and share results with internal stakeholders.
Discuss and advise on singular, bespoke underwriting risks presented by Operations/Distribution.
Manage strategic and quality interactions with reinsurers, actuarial & data science teams, distribution quality management, claims and product development/marketing.
What do you need to thrive?

High energy, bias for actions and strong self-motivation.
Analytical with ability to use data and analytics to inform strategy and decisions.
Extensive experience within a Life Insurance Underwriting role at a senior level.
Exposure to reinsurance market.
Ability to research, analyse and interpret complex information.
Open to innovation, use of data science to solve problems.
Excellent people management & influencing skills.
 So, what’s in it for you?

Bonus Schemes – A bonus that regularly rewards you for your performance
A pension of up to 12%– We will match your contributions up to 6% of your salary
Our award-winning Vitality health insurance – With its own set of rewards and benefits
Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!
If you are successful in your application and join us at Vitality, this is our promise to you, we will:

Help you to be the healthiest you’ve ever been.
Create an environment that embraces you as you are and enables you to be your best self.
Give you flexibility on how, where and when you work.
Help you advance your career by playing you to your strengths.
Give you a voice to help our business grow and make Vitality a great place to be.
Give you the space to try, fail and learn.
Provide a healthy balance of challenge and support.
Recognise and reward you with a competitive salary and amazing benefits.
Be there for you when you need us.
Provide opportunities for you to be a force for good in society.We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

About The Company
We're really excited to announce that we have recently been awarded "Top 10 Best Places To Work" in The Sunday Times Awards 2024!

Diversity & Inclusion
At Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.
Vitality’s approach to sustainability
Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. 
If we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.