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 analytics.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Collaborative environment with significant career development opportunities in the insurance sector.
- 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 80000 - 90000 £ per year.
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
- 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.
Business Analyst - Customer Data Management in City of London employer: Insight Select
Join a leading London Market insurer that prioritises innovation and employee development, offering a dynamic work culture where exposure analytics is central to strategic decision-making. With competitive salaries and benefits, this role provides the opportunity to work with cutting-edge technologies and collaborate with industry experts, ensuring your skills in Python, SQL, and data analytics are continuously enhanced. Experience a supportive environment that values your contributions and fosters professional growth in the exciting field of catastrophe risk management.
