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- Tasks: Analyse data and improve reporting processes in a dynamic insurance environment.
- Company: Join Talbot Underwriting, a leader in the Lloyd's Insurance Market.
- Benefits: Competitive salary, career growth, and a chance to work with industry experts.
- Why this job: Make a real impact on data quality and exposure management in insurance.
- Qualifications: Experience in insurance, strong coding skills in R/Python, and process automation.
- Other info: Stay ahead in a fast-paced industry with opportunities for professional development.
The predicted salary is between 55000 - 65000 £ per year.
Join us in our Exposure Management team to take your career to the next level with a global market leader. Talbot operates within the Lloyd's Insurance Market through Syndicates 1183, 2019, S2478 and 2479. With an expert team of highly skilled and experienced underwriters and a balanced, geographically diverse portfolio of business, Talbot has earned a reputation as an industry leading insurance specialist. Talbot writes a diversified portfolio including Crisis Management, Energy, Financial Lines, Marine, Political Risk, Property and Terrorism. Drawing on our deep industry expertise, Talbot develops tailored insurance solutions that address clients' evolving and often unique needs.
How you will create an impact:
- Review regulatory reporting, assess opportunities for automation and implement improvements to ensure they can be produced quickly and consistently.
- Review and develop the suite of reports available to underwriting teams to support aggregate management activities and monitoring of risk appetites.
- Improve data capture across all classes through standardisation of data entry and data checking processes.
- Ensure that an appropriate level of focus is maintained on improving data quality across different classes, and develop and enhance data capture for classes that do not have specific mechanisms in place.
- Support the timely delivery of regulatory returns and take responsibility for compiling data for both internal and external reporting.
- Provide information from the aggregate monitoring process to assist with reinsurance planning and ensure close collaboration with the underwriting and outwards reinsurance teams to improve data completeness.
- Support the development of Talbot’s views of catastrophe risk and feed into development/validation activities (including linkage into AIG group work streams).
- Assist in developing and reviewing the representation of non-nat-cat classes in the Internal Model.
- Help to develop oversight frameworks and own procedural documentation for the Exposure Management team.
- Stay up-to-date with industry developments and investigate ways in which we can enhance our data capture.
What you’ll need to succeed:
- Experience in a similar role within the insurance industry.
- Strong coding skills in R and/or Python.
- Experience of enhancing and automating processes.
- Strong understanding of insurance concepts.
- Understanding of cat modelling and exposure management advantageous.
Senior Data & Reporting Analyst employer: Talbot Underwriting
Contact Detail:
Talbot Underwriting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Reporting Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance industry, especially those working in data and reporting. Attend events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects in R or Python, especially those related to data automation or reporting. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cat modelling and exposure management. Be ready to discuss how you've improved data quality or automated processes in past roles. We want to see your problem-solving skills in action!
✨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 our team at Talbot. Let’s make your mark together!
We think you need these skills to ace Senior Data & Reporting Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data & Reporting Analyst role. Highlight your experience in the insurance industry and any relevant coding skills in R or Python. We want to see how your background aligns with what we do at Talbot!
Showcase Your Skills: In your application, don’t just list your skills—show us how you've used them! If you've enhanced or automated processes before, give us a quick example. We love seeing real-world applications of your expertise.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you get to the heart of why you're a great fit for our Exposure Management team without fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Let’s get your application rolling!
How to prepare for a job interview at Talbot Underwriting
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data analysis and reporting, especially in the context of the insurance industry. Be prepared to discuss specific examples of how you've used R or Python to enhance processes or automate reporting.
✨Showcase Your Problem-Solving Skills
During the interview, highlight instances where you've identified opportunities for improvement in data capture or reporting. Talk about the steps you took to implement changes and the impact it had on your previous team or company.
✨Understand the Business Context
Familiarise yourself with Talbot's portfolio and the types of risks they underwrite. This will help you connect your skills to their needs and demonstrate that you understand the broader implications of data management in the insurance sector.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current challenges in exposure management and data quality. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.