At a Glance
- Tasks: Design and enhance data visualisation dashboards to support pricing analytics.
- Company: Join a leading Lloyd’s insurance company with a focus on innovation.
- Benefits: Flexible working arrangements, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make an impact by transforming data into actionable insights for key stakeholders.
- Qualifications: Numerate degree and experience in data analysis, SQL, or Python preferred.
The predicted salary is between 30000 - 40000 £ per year.
This is a role within the Actuarial pricing team of a leading Lloyd’s insurance company and will suit a graduate with a numerate degree. Prior experience of data modelling, data analytics, data visualisation or programming languages such as Python or SQL (e.g. on coursework) is strongly desirable.
The Pricing team works closely with underwriting teams to build pricing models that allow underwriters to price, compare and monitor accounts. Subsequently, data captured in these models and in wider Chaucer systems will be used in building pricing Management Information (MI) dashboards. The Data Analyst role was created to accelerate growth in developing this MI. The incumbent will support the pricing team in the development of management information and pricing analytics to visualise data in a way that stakeholders find useful, as well as support on relevant data manipulation, documentation, and quality/accuracy testing. This will support sustainable profitable growth and to support strategic initiatives. This role will involve working with key members within Pricing and the wider business, and supporting and developing knowledge across Chaucer’s many lines of business (e.g. scope may include Casualty, Property, Energy, Marine, Credit Lines).
There is no actuarial study support provided as part of the contract.
Main duties- Design, build and enhance data visualisation dashboards (in Power BI) that meet business requirements and incorporate improved insights (in line relevant frameworks and technological requirements)
- Support on relevant data manipulation, documentation, and quality/accuracy testing
- Work collaboratively with underwriters, the pricing team and management across the pricing MI planning and development process, in coordination of best practices, and sharing knowledge
- Research and develop techniques and approaches to deliver improvements in MI capabilities, data quality and operational efficiency through model design and use of technology
- Document new dashboards and provide training
- Communicate and present pricing MI dashboards to business stakeholders
- Assistance for other pricing team activities as required, for example in building Excel based pricing models with VBA
- Understanding of data warehouses, data transformation and relational databases, for example in SQL, Power Query, DAX or other software
- Ability using Excel to manipulate, analyse and validate data effectively to derive actionable insights from complex datasets
- Experience in coding like Python or R for data analysis, automation, and problem-solving
- Experience in presenting complex data to non-technical audiences; using tools like Excel, Tableau, or Power BI to create clear, visually engaging reports and dashboards.
- Succinct and clear verbal and written skills
- Capable analytical skills – logical, methodical and rational approach to problem solving
- Comfortable with interpreting and producing numerical data
- Able to present findings to key stakeholders
- Attention to detail related to both mathematical calculations and clarity of narrative
- Self-motivated, hard-working and takes initiative
- Organised and clear thinking
- Ability to plan and organise work to meet targets and deadlines
- Able to collaborate, work as a team and communicate with staff at all levels
- 2.1 or 1st degree (or equivalent) in a numerate subject (Maths, Engineering or Computer Science) would be desirable
- 3 or more ‘A’ levels or equivalent (B or higher), including Mathematics would be desirable
Chaucer is a leading insurance group at Lloyd’s, the world’s specialist insurance market. We help protect industries around the world from the risks they face. Our customers include major airlines, energy companies, shipping groups, global manufacturers and property groups.
Our headquarters are in London, and we have international offices in Bermuda, Copenhagen, Dubai and Singapore to be closer to our clients across the world. To learn more about us please visit our website.
Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics which are outlined in the Equality Act 2010 (UK legislation) as a result of the Equal Treatment Directive 2006 (EU legislation). A diverse workforce and an inclusive workplace are core to our success as a business and integral to our winning strategy and culture. We recruit from the widest available pool of talent, and our hiring, assessment and selection process is fair, free from bias and one which ensures we select the right person for the job, based on merit. We are committed to promoting a culture that actively values difference, and recognises that everyone has the right to be treated with dignity and respect throughout their employment.
We are open to considering flexible working arrangements for all roles and encourage you to outline your needs during the interview process.
Data Analyst (Pricing) in London employer: Chaucer Underwriting Services
Contact Detail:
Chaucer Underwriting Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Pricing) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Chaucer on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data visualisation projects, especially if you've used Power BI or similar tools. This will give you a leg up during interviews when discussing your technical abilities.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills before the interview. You might be asked to solve a problem on the spot, so being comfortable with coding will definitely impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Chaucer team.
We think you need these skills to ace Data Analyst (Pricing) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the Data Analyst role. Use keywords from the job description, like data visualisation and SQL, to show we’re on the same page.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analytics and how your background fits with our team. Don’t forget to mention any experience with tools like Power BI or Python!
Showcase Your Projects: If you’ve worked on any data projects, whether in coursework or personal projects, make sure to include them. We love seeing how you’ve applied your skills in real-world scenarios, especially in data manipulation and visualisation.
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!
How to prepare for a job interview at Chaucer Underwriting Services
✨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, and Power BI. Be ready to discuss how you've used these tools in your coursework or projects. Highlight any specific examples where you’ve built dashboards or manipulated data to derive insights.
✨Understand the Pricing Process
Familiarise yourself with how pricing models work within the insurance industry. Research Chaucer’s approach to pricing and think about how your role as a Data Analyst will support underwriters. This shows you’re not just technically savvy but also understand the business context.
✨Prepare for Technical Questions
Expect questions that test your analytical skills and problem-solving abilities. Practice explaining complex data concepts in simple terms, as you’ll need to present findings to non-technical stakeholders. Use examples from your studies or past experiences to illustrate your points.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to discuss your teamwork experiences. Share examples of how you’ve collaborated on projects, communicated effectively, and contributed to achieving common goals. This will demonstrate your ability to fit into their team-oriented culture.