At a Glance
- Tasks: Develop innovative tools for catastrophe exposure analytics and automate data processes.
- Company: Leading London Market insurer with a focus on exposure management.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Collaborate with industry experts and enhance your technical and commercial skills.
- Why this job: Join a dynamic team tackling complex problems with cutting-edge technology and AI solutions.
- Qualifications: Experience in data analysis, strong Python and SQL skills, and knowledge of geospatial data.
The predicted salary is between 63000 - 77000 £ per year.
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 and advanced risk analytics, making it ideal for someone who enjoys solving complex problems and building scalable data solutions.
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.
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.
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 Python and SQL.
Understanding of geospatial data, GIS tools or spatial analytics is desirable.
Join a business where exposure analytics is a key strategic function.
Work on innovative projects involving catastrophe risk, automation, geospatial analytics and AI.
Excellent opportunity to develop both your technical and commercial expertise within the London Market.
Management Information Data Analyst in London employer: Insight Select
As a leading insurer in the Lloyd's and London Market, we pride ourselves on fostering a collaborative work culture that values innovation and analytical excellence. Our employees benefit from continuous professional development opportunities, competitive remuneration, and a supportive environment that encourages growth and influence in portfolio management decisions. Join us in London, where your expertise in catastrophe modelling will directly impact our strategic risk and capital management initiatives.
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We think this is how you could land Management Information Data Analyst in London
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We think you need these skills to ace Management Information Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Insight Select
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
