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- Tasks: Enhance data and insights for underwriting decisions in a dynamic property insurance environment.
- Company: Reputable London market insurer focused on data-driven growth.
- Benefits: Competitive salary, professional development, and opportunities for impactful work.
- Why this job: Combine technical analysis with commercial thinking to drive change and improve processes.
- Qualifications: Strong analytical skills and experience in data management or underwriting.
- Other info: Collaborative culture with opportunities for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A well-established London market insurer with a strong underwriting reputation and a growing focus on data-driven decision-making. The business is investing in portfolio analytics, tooling, and operational efficiency to strengthen underwriting performance, enhance data quality, and support profitable growth across its specialty lines.
About the Role:
This role supports an Open Market Property underwriting team by owning and enhancing the data, tooling, and insights that drive underwriting decisions and portfolio performance. You will work closely with underwriters and senior stakeholders to analyse portfolio data, build dashboards and monitoring processes, and improve data quality and operational efficiency across the underwriting lifecycle. The position is ideal for someone who enjoys combining technical analysis with commercial thinking and who can influence change through better information, automation, and improved processes.
Responsibilities:
- Analyse, interpret, and control multiple data sources to inform underwriting direction, portfolio optimisation, and decision-making.
- Develop and maintain portfolio dashboards and monitoring processes, partnering with underwriters to define KPIs, insights, and performance measures.
- Provide structured and ad-hoc portfolio management support using relevant portfolio tools and internal systems (e.g., portfolio monitoring, reinsurance placements, modelling outputs).
- Act as a key liaison between underwriting and internal partner teams (e.g., exposure management, data/MI, claims, and reinsurance) to ensure data needs are understood and delivered.
- Support the investigation and troubleshooting of catastrophe modelling outputs and portfolio analytics, working with exposure management as required.
- Improve data capture standards and data quality, providing guidance on structure and content to support downstream actuarial and analytical systems.
- Engage with external partners (e.g., brokers, coverholders, and third-party administrators) to improve data integrity, streamline processes, and support efficient data.
Senior Underwriting Analyst - Open Market Property in London employer: Equity City
Contact Detail:
Equity City Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Underwriting Analyst - Open Market Property in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the underwriting and data analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your interest in the field.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of portfolio analytics. Be ready to discuss how you can enhance data quality and operational efficiency, as these are key areas for the role.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of dashboards or reports you've created in the past to demonstrate your ability to turn data into actionable insights. This will help you stand out during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Underwriting Analyst - Open Market Property in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Underwriting Analyst role. Highlight your data analysis capabilities and any experience you have in the insurance sector to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about underwriting and how your background makes you a perfect fit for our team. Don’t forget to mention your knack for data-driven decision-making!
Showcase Your Technical Skills: Since this role involves a lot of data tools and analytics, be sure to mention any relevant software or systems you’re familiar with. We love seeing candidates who can hit the ground running with portfolio dashboards and monitoring processes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Equity City
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sources relevant to underwriting. Brush up on how to analyse and interpret data, as this role heavily relies on it. Be ready to discuss specific examples of how you've used data to influence decisions in your previous roles.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency with portfolio tools and dashboard creation. Bring examples of dashboards you've built or improved in the past, and be ready to explain how they helped drive performance. This will show that you can hit the ground running.
✨Understand the Underwriting Lifecycle
Familiarise yourself with the entire underwriting process and how data plays a role at each stage. Be prepared to discuss how you can enhance operational efficiency and improve data quality throughout this lifecycle. This shows you’re not just a number cruncher but someone who understands the bigger picture.
✨Engage with Stakeholders
Highlight your experience in liaising with various teams, such as exposure management and claims. Prepare to discuss how you’ve successfully communicated data needs and collaborated with others to achieve common goals. This will demonstrate your ability to influence change and work effectively within a team.
