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- Tasks: Lead pricing projects and develop predictive models to shape pricing strategies.
- Company: Top insurance company in London with a focus on innovation.
- Benefits: Hybrid work model, flexible arrangements, health support, and career growth opportunities.
- Why this job: Join a dynamic team and make a real impact on pricing strategies.
- Qualifications: Degree in a numerical discipline and experience in insurance pricing.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance company in London is seeking a Lead Risk Pricing Analyst to influence pricing strategy. The role involves managing pricing projects, developing predictive models, and coaching team members.
Suitable candidates will have a degree in a numerical discipline and relevant experience in insurance pricing. The position offers a hybrid work model with opportunities for career growth and extensive benefits, including flexible working arrangements and health support.
Lead Risk Pricing Analyst — ML-Driven Pricing Leader employer: Ageas UK
Contact Detail:
Ageas UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Risk Pricing Analyst — ML-Driven Pricing Leader
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves developing predictive models, be ready to discuss your experience with data analysis and any tools you've used.
✨Tip Number 3
Showcase your leadership skills! If you’ve coached team members before, have examples ready to demonstrate how you’ve influenced others and driven projects to success.
✨Tip Number 4
Don’t forget to apply through our website! We want to see your application and help you land that Lead Risk Pricing Analyst role. Plus, it’s the best way to stay updated on your application status.
We think you need these skills to ace Lead Risk Pricing Analyst — ML-Driven Pricing Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Risk Pricing Analyst role. Highlight your numerical background and any relevant insurance pricing experience to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing strategy and how your previous projects have prepared you for this role. We love seeing enthusiasm and a personal touch!
Showcase Your Analytical Skills: Since this role involves developing predictive models, be sure to mention any specific tools or methodologies you've used in your past work. We want to see how you approach problem-solving and data analysis!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at Ageas UK
✨Know Your Numbers
As a Lead Risk Pricing Analyst, you'll need to demonstrate your numerical prowess. Brush up on key statistical concepts and be ready to discuss how you've applied them in previous roles, especially in insurance pricing.
✨Showcase Your Projects
Prepare to talk about specific pricing projects you've managed. Highlight the challenges you faced, the predictive models you developed, and the impact of your work on pricing strategy. Use concrete examples to illustrate your success.
✨Coaching is Key
Since the role involves coaching team members, think about your leadership style. Be ready to share experiences where you've mentored others, how you approach team development, and the results of your coaching efforts.
✨Embrace the Hybrid Model
With a hybrid work model on offer, show that you're adaptable. Discuss how you've successfully worked in both remote and in-office settings, and how you plan to maintain productivity and collaboration in this flexible environment.
