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- Tasks: Analyse data and automate processes in a collaborative team.
- Company: Leading UK financial services group with a focus on innovation.
- Benefits: Flexible hours, training opportunities, and personal development support.
- Why this job: Gain essential skills in data analysis while making a real impact.
- Qualifications: 2:1 degree in a STEM subject and a passion for data.
- Other info: Join a diverse culture with excellent career growth potential.
The predicted salary is between 18000 - 25000 £ per year.
A leading UK financial services group is seeking a Year in Industry - Reinsurance Analyst for London starting June to September 2026. This full-time position offers training in data analysis, coding, and process automation to help you develop essential skills in a collaborative environment.
Ideal candidates should have a 2:1 degree in a STEM subject and show a genuine interest in data. Flexible working options are available, showcasing the company's commitment to personal development and diverse working cultures.
Data-Driven Reinsurance Analyst – London | Flexible Hours in City of London employer: LegalAndGeneral
Contact Detail:
LegalAndGeneral Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Reinsurance Analyst – London | Flexible Hours in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Practice common questions related to coding and process automation, so you can showcase your knowledge confidently.
✨Tip Number 3
Show your passion for data! During interviews, share personal projects or experiences that highlight your interest in data analysis. This will help you stand out as a candidate who genuinely cares.
✨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 the initiative to connect with us directly.
We think you need these skills to ace Data-Driven Reinsurance Analyst – London | Flexible Hours in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your genuine interest in data. Share any relevant projects or experiences that highlight your skills and enthusiasm for data analysis. This will help us understand why you're a great fit for the role!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific position. Highlight your STEM background and any relevant coursework or projects that align with the job description. We love seeing how your unique experiences make you the perfect candidate!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate when candidates can communicate their ideas effectively, so make it easy for us to see your qualifications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at LegalAndGeneral
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common data analysis tools and techniques, as well as any coding languages mentioned in the job description. This will show your genuine interest in data and your readiness to dive into the role.
✨Showcase Your STEM Background
Since a 2:1 degree in a STEM subject is required, be prepared to discuss how your academic background has equipped you with analytical skills. Think of specific projects or coursework that highlight your abilities and relate them to the responsibilities of the role.
✨Emphasise Flexibility and Collaboration
The company values flexible working and collaboration, so be ready to discuss how you thrive in team settings and adapt to different work environments. Share examples from past experiences where you successfully collaborated with others or adapted to changing circumstances.
✨Prepare Questions
Interviews are a two-way street, so prepare thoughtful questions about the role and the company culture. Ask about the training opportunities in data analysis and process automation, as this shows your eagerness to learn and grow within the organisation.