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For Companies At a Glance
- Tasks: Analyse claims data to drive smarter, data-driven decisions and enhance performance.
- Company: Leading Lloyd's Syndicate in the heart of London.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong background in Claims Data and MI, with experience in London Market processes.
- Other info: Join a team focused on innovation and continuous improvement in claims analytics.
The predicted salary is between 36000 - 60000 £ per year.
Overview
I am currently working with a leading Lloyd's Syndicate that is seeking a Senior Claims MI Analyst to join its growing team. This is a key role within the business, focused on driving transformation through high-quality claims data and insight. You will be responsible for analysing claims trends, performance, and MI to support smarter, data-driven decision-making across the organisation.
The successful candidate will bring a strong Lloyd's background in Claims Data and MI. Essential experience includes London Market Bureau processes, Xchanging, Lloyd's V5 bordereaux, and ECF.
Data and analytics sit at the heart of the organisation's strategy to become a recognised leader in specialty underwriting. As a Senior Claims MI Analyst, you will play a pivotal role in enabling this ambition by translating complex claims data into actionable insight. Your work will support faster, more informed decisions, helping leaders optimise performance, reduce risk, and enhance customer outcomes - ultimately strengthening the firm's position within the specialty market.
Key Responsibilities- Driving Data-Led Decision Making
- Produce, maintain, and continuously enhance high-quality dashboards and MI reports, including user testing, to support executive decision-making, operational improvement, and financial management.
- Integrate data from multiple internal and external sources to deliver a comprehensive view of claims performance, trends, and opportunities.
- Develop and maintain advanced analytics and forecasting tools to improve claims forecasting accuracy and positively influence loss ratios and profitability.
- Partner closely with stakeholders to understand business challenges, translate requirements into data-driven solutions, and deliver insights that lead to measurable improvements in efficiency and customer outcomes.
- Present complex data clearly and effectively, ensuring insights are accessible, impactful, and actionable at all levels of the organisation.
- Maintain high standards of data quality, integrity, and consistency to ensure all analytics and reporting outputs are trusted and reliable.
- Proactively identify opportunities to enhance claims data, reporting processes, and analytics capabilities, driving continuous improvement and long-term business value.
Senior Claims Analyst (MI/BAU) in London employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Claims Analyst (MI/BAU) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Lloyd's or similar firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best work related to claims data and MI. When you get that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data roles. Think about how you can relate your experience with London Market Bureau processes and analytics to the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace your application and connect with the right opportunities. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Senior Claims Analyst (MI/BAU) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Claims MI Analyst role. Highlight your experience with Lloyd's processes, data analytics, and any relevant tools you've used. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about claims data and how you can drive transformation at our organisation. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Provide examples of how you've used data to influence decision-making or improve processes in previous roles. We’re all about data-driven insights here!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at HFG
✨Know Your Data Inside Out
Make sure you’re well-versed in claims data and MI processes, especially those relevant to the Lloyd's market. Brush up on your knowledge of London Market Bureau processes and tools like Xchanging and ECF. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to analyse trends and performance metrics. Bring examples of dashboards or reports you've created in the past, and be ready to explain how they influenced decision-making. This will highlight your practical experience and analytical mindset.
✨Engage with Stakeholders
Think about how you’ve partnered with stakeholders in previous roles. Be ready to share specific instances where you translated complex data into actionable insights for different teams. This shows you understand the importance of collaboration and communication in driving business improvements.
✨Emphasise Continuous Improvement
Discuss how you’ve proactively identified opportunities for enhancing data quality and reporting processes. Share any initiatives you’ve led or contributed to that improved analytics capabilities. This will demonstrate your commitment to driving transformation and adding long-term value.
