Exposure Analyst in Slough

Exposure Analyst in Slough

Slough Entry level 30000 - 35000 £ / year (est.) No working from home possible
T

At a Glance

  • Tasks: Analyse data and model risks related to natural disasters in the insurance sector.
  • Company: Dynamic (re)insurance business focused on exposure management.
  • Benefits: Competitive salary, career development, and a chance to work with cutting-edge technology.
  • Other info: Open to graduates and experienced analysts, offering excellent growth opportunities.
  • Why this job: Make impactful decisions while developing your skills in a fast-paced environment.
  • Qualifications: Degree in a quantitative field; analytical mindset and strong Excel skills required.

The predicted salary is between 30000 - 35000 £ per year.

A specialist (re)insurance business is looking to add an Exposure / Catastrophe Analyst to its Exposure Management team. This is an open-level hire — we're equally interested in hearing from ambitious graduates and experienced analysts, so if the role speaks to you, please read on.

Two Routes In

  • Graduate / Early Career
    You hold a degree in a quantitative or spatial discipline — Maths, Geography, Geology, Environmental Science, Physics or similar — and have a genuine interest in natural perils, world events and how the (re)insurance industry models and manages risk. No direct industry experience is needed; analytical sharpness and intellectual curiosity will take you far here.
  • Experienced Analyst — 1 to 4 Years
    You've built your career in exposure management or catastrophe modelling within a syndicate, company insurer, MGA or broker environment. You're comfortable with vendor platforms (Moody's RMS in particular), portfolio analytics and EP reporting, and you're ready for a role with broader scope and genuine development opportunity.

What the Role Involves

  • Running and interpreting Exceedance Probability (EP) curves and aggregate model outputs
  • Inputting and manipulating exposure data in Moody's RMS
  • Managing data flows and working closely with underwriters on data quality
  • Supporting Lloyd's and internal reporting — RDS loss estimates, Class of Business EP, combined EP numbers
  • Contributing to post-event loss analysis
  • Developing and refining internal proprietary models
  • Producing exposure reports that directly support underwriting decisions

What We're Looking For

  • All candidates:
    • 2:1 degree or above, ideally in a numerate or spatial subject
    • Strong analytical skills and confidence with large datasets
    • Solid Excel skills; broader Microsoft 365 familiarity
    • Clear communicator, comfortable working both independently and collaboratively
    • Well-organised with a disciplined approach to deadlines
  • Experienced candidates:
    • Hands-on experience with Moody's RMS or similar catastrophe modelling tools
    • Familiarity with SQL and/or Power BI (desirable)
    • Knowledge of Lloyd's reporting frameworks
    • Property and/or Specialty Treaty exposure (desirable)

Why Apply

This is a technically demanding, commercially visible role sitting at the intersection of data, modelling and underwriting. You'll work across a wide range of peril classes, contribute to meaningful decisions, and have real scope to develop — whether you're starting out or taking your next step.

Interested? Apply with your CV and a short note on what draws you to the role.

Exposure Analyst in Slough employer: Tower Street Recruitment Solutions Limited

Join a dynamic and innovative (re)insurance business that values analytical talent and fosters a collaborative work culture. With a commitment to employee growth, you'll have access to comprehensive training and development opportunities, whether you're a recent graduate or an experienced analyst. Located in [Location], this role offers a unique chance to engage with cutting-edge modelling tools and contribute to impactful decision-making in the industry.

T

Contact Details:

Tower Street Recruitment Solutions Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Exposure Analyst in Slough

Dive into Insurance Networking Events

Get your foot in the door by attending local insurance networking events or job fairs. These gatherings are perfect for us to meet potential employers in a casual setting, and you might just find a great connection to help land that entry-level role!

Join Online Insurance Communities

Hop onto platforms like LinkedIn or specialised forums centred on insurance. Engage with discussions, ask questions, and showcase your eagerness to break into the industry. This visibility can make you stand out to hiring managers scouring these spaces for fresh talent.

Leverage University Resources

If you're fresh out of uni, make sure to utilise your university’s career services. They can connect us with companies looking for entry-level candidates, often before jobs are even advertised. Keep an eye on internship opportunities, as they can lead to full-time positions down the line!

Apply Directly Through Us!

Don't forget to check our website for any entry-level openings at Tower Street Recruitment Solutions Limited! Applying directly can give you a better chance to showcase your enthusiasm and passion for the insurance field, plus, it shows you’re keen to take the initiative.

We think you need these skills to ace Exposure Analyst in Slough

Analytical Skills
Exposure Management
Catastrophe Modelling
Moody's RMS
Data Manipulation
Exceedance Probability (EP) Curves
Portfolio Analytics

Some tips for your application 🫡

Show Your Customer Service Skills:In the insurance industry, customer service is key! Highlight any experience you have in dealing with clients or customers, whether it's through a part-time job or volunteer work. Remember, we love seeing your potential to communicate effectively and empathise with clients in your application!

Tailor Your CV to Insurance Basics:When crafting your CV, don't forget to include any relevant courses or certifications you've taken in insurance or finance. If you've studied topics related to risk assessment or policy management, mention those! It shows us you're serious about getting into the insurance game.

Craft a Compelling Cover Letter:For entry-level roles, your cover letter is your chance to shine! Share why you're passionate about insurance and how you’re eager to learn and grow in this field. We want to see that you're genuinely excited about building your career with Tower Street Recruitment Solutions Limited!

Highlight Your Analytical Mindset:Insurance is all about assessing risks and understanding numbers. Make sure to mention any coursework or experience you have with data analysis or critical thinking. Even if it’s from school projects or personal interests, we want to see that you can think analytically!

How to prepare for a job interview at Tower Street Recruitment Solutions Limited

Know Your Basics: The Insurance Fundamentals

Understand the core concepts of insurance, such as risk assessment, underwriting, and claims processes. This knowledge will help us demonstrate our familiarity with the industry and prepare us for any technical questions that might pop up during the interview.

Prepare for Behavioural Questions

Insurance companies love behavioural interviews! We should think about times we've shown teamwork, problem-solving, and customer service skills. Reflecting on specific experiences will help us come across as reliable candidates who can handle the challenges of the role.

Show Enthusiasm for Learning

As this is an entry-level position, it's crucial to express our eagerness to learn and grow within the company. Employers like Tower Street Recruitment Solutions Limited want to see that we're enthusiastic about diving into the insurance world and building our knowledge base over time.

Research Industry Trends

Staying updated on the latest trends in the insurance sector, like digital transformation and regulatory changes, can set us apart. Mentioning these trends during the interview shows that we’re engaged and have a forward-thinking mindset, aligning well with the company’s goals.