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For Companies At a Glance
- Tasks: Analyse pricing strategies and optimise models for retail insurance.
- Company: Join one of the fastest growing insurers in the UK.
- Benefits: Enjoy hybrid work, competitive salary, and excellent health benefits.
- Why this job: Make a real impact in pricing innovation and analytics.
- Qualifications: 1-5 years in UK General Insurance and programming skills in Python, R, SQL.
- Other info: Great opportunity for career growth and mentorship in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you a pricing candidate with personal lines experience? Consider applying to this role as a Retail Pricing Analyst at one of the fastest growing Insurers in the UK.
- Motor Optimisation (Retail)
- Behavioural and Profitability Models
- Price Optimisation
- Innovation and advanced analytics
- Collaboration and Strategic Support
- Leadership Mentoring
Essential
- If you have 1-5 years' experience in UK General Insurance (Home and/or Motor) and have a solid understanding of pricing principles and regulatory governance.
- Programming proficiency - Python, R, SQL, Git
- Hands on experience in statistical modelling
- Excellent communication
Nice to have
- Familiarity with Emblem, Radar, Earnix
- Experience in pricing optimisation
- Experience with cloud platforms (e.g. AWS/GCP/Azure)
What this role offers
- Location: London
- 50/50 Hybrid
- Excellent benefits including Private Medical and Dental Cover
- Competitive Salary
If this interests you or anyone in your network then please reach out.
Pricing Analyst employer: The Actuary
Contact Detail:
The Actuary Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance industry and let them know you're on the hunt for a Pricing Analyst role. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Brush up on your programming skills! Since this role requires proficiency in Python, R, SQL, and Git, make sure you're comfortable with these tools. Consider doing a quick project or two to showcase your skills.
✨Tip Number 3
Prepare for interviews by practising common pricing-related questions. Think about how you can demonstrate your understanding of pricing principles and regulatory governance. We want you to shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining one of the fastest-growing insurers in the UK.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in personal lines and UK General Insurance. We want to see how your skills align with the role, so don’t be shy about showcasing your programming proficiency and any hands-on experience you have in statistical modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing analysis and how your background makes you a great fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills: Since programming is key for this role, make sure to mention your proficiency in Python, R, SQL, and Git. If you've worked with cloud platforms or pricing optimisation tools like Emblem or Radar, give us the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at The Actuary
✨Know Your Pricing Principles
Make sure you brush up on your understanding of pricing principles and regulatory governance. Be ready to discuss how these concepts apply to personal lines, especially in the context of motor optimisation.
✨Show Off Your Technical Skills
Since programming proficiency is key for this role, be prepared to talk about your experience with Python, R, SQL, and Git. Maybe even bring a small project or example that showcases your statistical modelling skills.
✨Communicate Clearly
Excellent communication is essential, so practice explaining complex ideas in simple terms. Think about how you can convey your thoughts on pricing optimisation and analytics in a way that’s easy to understand.
✨Familiarise Yourself with Tools
If you have experience with tools like Emblem, Radar, or Earnix, make sure to highlight that. Even if you don’t, showing a willingness to learn about cloud platforms like AWS, GCP, or Azure can set you apart from other candidates.