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 a focus on career development and innovation.
- Why this job: Join a dynamic team tackling complex problems with cutting-edge technology.
- Qualifications: Experience in data analysis, strong Python and SQL skills, and insurance market knowledge.
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.
Business Analyst - Customer Data Management 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.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Customer Data Management in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Insight Select. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Business Analyst - Customer Data Management in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Insight Select.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Insight Select's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Insight Select
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Insight Select.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Insight Select will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Insight Select employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
