Senior Actuarial Analyst (Life Pricing)

About The Role

Team – Pricing - Life. Working Pattern - Hybrid – 2 days per week in the [Employer hidden — sign up to reveal] London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working!

Top 3 skills needed for this role:

• Life insurance pricing experience
• Strong actuarial modelling & analysis
• Stakeholder communication & influence

What this role is all about:

Our Actuaries sit at the heart of our mission - making people healthier and enhancing lives. As a Senior Actuarial Analyst in Life Pricing, you’ll play a key role in shaping our long-term life insurance propositions. You’ll gain hands-on exposure to end-to-end pricing, continue to develop your technical actuarial and data science capabilities, and contribute directly to strategic decision-making, growth and financial stability at [Employer hidden — sign up to reveal].

Key Actions

• Manage, define and analyse data, including developing and maintaining robust processes
• Build, enhance and maintain pricing models, documenting key assumptions and methodologies
• Identify and assess key risks and assumptions, recommending appropriate solutions
• Validate results using business and external market insight
• Monitor performance, explain results clearly and identify opportunities for improvement
• Understand stakeholder needs and tailor analysis accordingly
• Work independently with senior stakeholders, addressing challenges and unforeseen issues
• Produce and present clear, insightful analysis and presentations
• Act as a subject‑matter resource for less experienced colleagues
• Communicate progress clearly and manage stakeholder expectations
• Support and, where required, co‑ordinate the work of Actuarial Analysts
• Share information appropriately and listen to others’ perspectives

What do you need to thrive?

• Associate member of the Institute and Faculty of Actuaries (or equivalent), or working towards this
• Experience within financial services, ideally in health or life insurance
• Working knowledge of SQL, with experience writing and editing queries to extract and analyse data (e.g. SQL Server Management Studio)
• Exposure to Python/R and data processing libraries
• Familiarity with visualisation and dashboarding tools such as Power BI
• Experience leveraging AI tools and agents to improve efficiency, generate insights and automate workflow
• Strong MS Office skills, particularly Excel, with working knowledge of Word and PowerPoint

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 [Employer hidden — sign up to reveal] health insurance – With its own set of rewards and benefits
• Life Assurance – Four times annual salary

These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page.

About You

We’re looking for a candidate who thrives in a collaborative environment and is passionate about using data to drive business decisions.

About Us

We’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. [Employer hidden — sign up to reveal] is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place. Our core purpose is to make people healthier and enhance protect their lives. [Employer hidden — sign up to reveal] pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits.

At [Employer hidden — sign up to reveal], 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.

How to Apply

If you are interested, please submit your application as soon as possible. Click the Apply button or visit our careers page. If we receive a high volume of quality applications we may need to close this vacancy early.