Senior Capital Analyst in Whitehall

Senior Capital Analyst in Whitehall

Whitehall Full-Time 50000 - 50000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Support capital assessments and solvency requirements in a collaborative actuarial team.
  • Company: Leading global insurer with a strong actuarial and capital management function.
  • Benefits: Competitive salary, professional development, and exposure to strategic projects.
  • Other info: Excellent career growth opportunities and supportive learning environment.
  • Why this job: Join a dynamic team and make an impact on capital management in insurance.
  • Qualifications: Progression through IFoA exams and experience in General or Health Insurance.

The predicted salary is between 50000 - 50000 £ per year.

A leading global insurer is seeking a Capital Analyst to join its Capital Modelling team, supporting both Health and General Insurance lines of business.

This is an excellent opportunity for a part-qualified actuary to join a highly regarded actuarial function and play a key role in helping the business understand, manage and optimise its capital position. Working within a collaborative team of actuarial, risk and finance professionals, you will contribute to the ongoing development of the Internal Model and support strategic decision-making across the organisation.

The role offers broad exposure to capital management, solvency assessment, risk modelling and regulatory requirements, making it an ideal opportunity for someone looking to further develop their actuarial career within a large and complex insurance environment.

Your new role

As a Capital Analyst, you will support the production and analysis of capital assessments and solvency requirements across the business. Working closely with the wider Capital Modelling team, you will assist with the calibration, development, maintenance and validation of the Internal Model, ensuring it remains fit for purpose and aligned with regulatory expectations. You will contribute to the development of insurance risk assumptions, support ORSA and other capital-related processes, and help assess the impact of evolving business and regulatory requirements on the model. The role will also involve analysing reinsurance arrangements, supporting risk management activities and delivering actuarial analysis to inform strategic business decisions. This position offers significant interaction with stakeholders across actuarial, risk and finance functions, providing excellent exposure to senior decision-makers and a broad range of capital modelling activities.

What you'll need to succeed

  • Progression through the IFoA actuarial exams.
  • Previous experience within a General Insurance and/or Health Insurance environment.
  • Strong mathematical, statistical and analytical capabilities.
  • An understanding of insurance risk and capital modelling principles.
  • Experience delivering actuarial analysis and communicating technical findings to a range of stakeholders.
  • Strong Excel and modelling skills, with exposure to actuarial modelling software such as ReMetrica being advantageous but not essential.
  • A proactive approach to learning and professional development.
  • The ability to work collaboratively across actuarial, risk and finance teams.
  • Exposure to Internal Models, Solvency II, ORSA processes or capital management activities would be highly beneficial.

What you'll get in return

In return, you will have the opportunity to join a well-established insurer with a strong actuarial and capital management function, where you will gain exposure to a wide range of strategic and technical projects. You will work alongside experienced actuarial professionals in a supportive environment that encourages ongoing learning, professional qualification and career development. The role offers excellent exposure to capital modelling, risk management and regulatory frameworks, providing a strong platform for progression within the actuarial profession.

If you are interested in this opportunity, please apply now or get in touch for a confidential discussion.

Senior Capital Analyst in Whitehall employer: Hays

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Contact Details:

Hays Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Capital Analyst in Whitehall

✨Dive Into Industry Networking Events

Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.

✨Use LinkedIn to Your Advantage

Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Hays). A thoughtful message explaining your interest can really make a difference!

✨Look Out for Graduate Schemes

Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.

✨Leverage Your Current Connections

Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Hays. Don’t shy away from asking for a coffee chat; you never know what doors it might open!

We think you need these skills to ace Senior Capital Analyst in Whitehall

Actuarial Analysis
Capital Modelling
Solvency Assessment
Risk Modelling
Regulatory Requirements
Mathematical Skills
Statistical Skills

Some tips for your application 🫡

Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.

Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.

Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Hays.

Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Hays. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.

How to prepare for a job interview at Hays

✨Know Your Numbers: Insurance Fundamentals

Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Hays to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.

✨Showcase Your Analytical Side

In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!

✨Prepare for Behavioural Questions

As a full-timer at Hays, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.

✨Know the Company Culture Inside Out

Understanding Hays's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.