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- Tasks: Enhance insurance portfolio value through innovative pricing models and analytics.
- Company: Leading insurance consultancy in the UK with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for travel.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Graduate degree in Statistics or Mathematics and experience in pricing roles.
- Other info: Ideal for those passionate about statistical modelling and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance consultancy in the United Kingdom is seeking a Technical Pricing Manager to enhance the value of their portfolio through innovative pricing models and optimisations.
The ideal candidate will have a graduate degree in Statistics or Mathematics, coupled with experience in pricing roles within general insurance. Strong skills in statistical modelling, machine learning, and software like Earnix or Python are essential.
The position offers a flexible remote work approach with occasional travel.
Remote Technical Pricing Lead (Modeling & Analytics) in Cambridge employer: Gerrard White
Contact Detail:
Gerrard White Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Technical Pricing Lead (Modeling & Analytics) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and pricing sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical modelling and machine learning projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for technical pricing roles and practice your answers. We want you to feel confident and ready to impress!
✨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.
We think you need these skills to ace Remote Technical Pricing Lead (Modeling & Analytics) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in pricing roles and your skills in statistical modelling and machine learning. We want to see how your background aligns with the Technical Pricing Lead role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about innovative pricing models and how your expertise can enhance our portfolio. Let us know what excites you about working with us at StudySmarter.
Showcase Your Technical Skills: Since we’re looking for someone with strong skills in software like Earnix or Python, make sure to mention any relevant projects or experiences. If you’ve used these tools to solve real-world problems, we want to hear about it!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Gerrard White
✨Know Your Numbers
Brush up on your statistical modelling and machine learning skills. Be ready to discuss specific projects where you've applied these techniques, especially in pricing roles. This will show your expertise and how you can bring value to their portfolio.
✨Familiarise with Tools
Make sure you're comfortable with software like Earnix or Python. If you’ve used them in past roles, prepare to share examples of how you leveraged these tools to optimise pricing models. This will demonstrate your hands-on experience and technical prowess.
✨Understand the Company’s Needs
Research the consultancy's current pricing strategies and challenges in the insurance market. Tailor your responses to show how your skills can directly address their needs and enhance their portfolio. This shows initiative and a genuine interest in the role.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of situations where you had to analyse data and make pricing decisions. Practising these scenarios will help you articulate your thought process clearly during the interview.
