Insight Select
Exposure Management Data Analyst

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Exposure Management Data Analyst
Exposure Data Analyst / Quantitative Exposure Analyst
London | £80,000 – £90,000 + Benefits
Are you a data-driven insurance professional with strong Python and SQL skills looking to work at the forefront of exposure analytics, catastrophe risk, and process automation?
I’m working with a highly regarded London Market insurer seeking an experienced Exposure Data Analyst / Quantitative Exposure Analyst to join a growing Exposure Management function. This is an excellent opportunity to combine technical expertise, data engineering, analytics, and catastrophe risk management within a business where exposure analytics plays a central role in strategic decision-making.
The Role
Working closely with the Exposure Analytics Manager and wider Exposure Management team, you’ll help develop innovative tools and analytical solutions that track, analyse, and manage catastrophe exposure across the portfolio.
This role offers significant exposure to:
- Modern technologies
- Automation initiatives
- Geospatial datasets
- AI-driven solutions
- Advanced risk analytics
Making it ideal for someone who enjoys solving complex problems and building scalable data solutions.
Key Responsibilities
- Develop and enhance analytical tools used to monitor natural catastrophe exposure across the business.
- Build automated data pipelines and reporting processes to improve efficiency and reduce manual workloads.
- Support the production of portfolio analytics and catastrophe exposure forecasts.
- Create and maintain dashboards and visualisation tools using platforms such as Power BI and Databricks.
- Work with research and underwriting teams to develop proprietary risk scoring datasets and portfolio insights.
- Develop Python and SQL solutions that improve catastrophe pricing and exposure management processes.
- Translate catastrophe model outputs into business-critical reporting used for capital modelling and portfolio management.
- Support data enrichment initiatives and explore emerging technologies, including AI-powered solutions.
- Collaborate with underwriters, actuaries, and senior stakeholders to deliver meaningful exposure insights.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We’re Looking For
- Experience working within the insurance market in a data-focused analytical role.
- Exposure to Property insurance, catastrophe modelling, or exposure management would be highly advantageous.
- Strong programming skills, particularly in Python and SQL.
- Experience working with large datasets and process automation.
- Knowledge of catastrophe modelling platforms such as RMS or Verisk would be beneficial.
- Understanding of geospatial data, GIS tools, or spatial analytics is desirable.
- Experience working with APIs, dashboarding tools, and modern analytics platforms.
- Strong analytical and problem-solving skills with the ability to communicate complex findings clearly.
- A proactive, self-motivated approach and desire to improve processes through technology.


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Why Apply?
- Join a business where exposure analytics is a key strategic function.
- Work on innovative projects involving catastrophe risk, automation, geospatial analytics, and AI.
- Gain exposure to senior stakeholders and underwriting teams across the organisation.
- Be part of a collaborative, technically strong team environment.
- Excellent opportunity to develop both your technical and commercial expertise within the London Market.
For a confidential discussion and further information, please get in touch.
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