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- Tasks: Develop statistical models to predict future claims using data science techniques.
- Company: Leading insurance provider in Greater London with a focus on innovation.
- Benefits: Competitive benefits and the opportunity to influence home insurance pricing.
- Why this job: Make a real impact in the insurance industry while working with data-driven insights.
- Qualifications: Strong analytical and communication skills with 3+ years in an analytical role.
- Other info: Hybrid work model with at least 50% time in the office.
The predicted salary is between 42000 - 84000 £ per year.
A leading insurance provider in Greater London is seeking a Senior Pricing Analyst to join their Home Risk Modelling Team. The role involves developing statistical models to predict future claims, using data science techniques, and ensuring compliance with industry regulations.
Candidates should possess strong analytical and communication skills, with at least 3 years of experience in an analytical role. The hybrid work model requires spending at least 50% of the time in the office. This position offers competitive benefits and the chance to impact home insurance pricing.
Senior Home Pricing Analyst — Hybrid, Data-Driven Risk in London employer: Direct Line Group
Contact Detail:
Direct Line Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Home Pricing Analyst — Hybrid, Data-Driven Risk in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the insurance sector, especially those in pricing roles. They can provide insider info and might even refer you directly to hiring managers.
✨Tip Number 2
Prepare for the interview by brushing up on your data science techniques. Be ready to discuss how you've used statistical models in past roles to predict outcomes. We want to see your analytical skills shine!
✨Tip Number 3
Showcase your communication skills during interviews. Practice explaining complex data concepts in simple terms. This will demonstrate your ability to collaborate with non-technical teams, which is crucial in this role.
✨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 engage with us directly.
We think you need these skills to ace Senior Home Pricing Analyst — Hybrid, Data-Driven Risk in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience in data science. We want to see how your background aligns with the role of a Senior Pricing Analyst, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about home insurance pricing and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since this role involves collaboration, make sure to highlight your communication skills in your application. Whether it’s through examples in your CV or your cover letter, we want to know how you effectively convey complex ideas.
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at Direct Line Group
✨Know Your Numbers
As a Senior Home Pricing Analyst, you'll be expected to have a solid grasp of statistical models and data science techniques. Brush up on your analytical skills and be ready to discuss specific examples of how you've used data to predict outcomes in previous roles.
✨Understand the Industry
Familiarise yourself with the home insurance market and current trends. Being able to discuss industry regulations and how they impact pricing will show that you're not just a numbers person but also understand the bigger picture.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you may need to present your findings to non-technical stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Hybrid Work Questions
Since this role requires a hybrid work model, be ready to discuss how you manage your time and productivity both in the office and remotely. Share examples of how you've successfully collaborated with teams in different settings to highlight your adaptability.
