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- Tasks: Lead a team to develop innovative pricing strategies and predictive models.
- Company: A top insurance provider with a focus on strategic growth.
- Benefits: Competitive salary up to £52,800, health benefits, and 35+ days holiday.
- Why this job: Make a real impact in the insurance industry with flexible working options.
- Qualifications: Relevant degree and over 3 years of experience in insurance pricing.
- Other info: Enjoy a hybrid working model and excellent career development opportunities.
The predicted salary is between 31680 - 40320 £ per year.
A leading insurance provider is seeking a Senior Strategic Market Pricing Analyst to enhance pricing strategies. The role includes leading a team, developing predictive models, and engaging with senior stakeholders.
Ideal candidates have a relevant degree and over 3 years of experience in insurance pricing. The position offers a hybrid working model, competitive salary up to £52,800, and an array of health and personal benefits. Flexible working arrangements and a minimum of 35 days holiday are also provided.
Senior Market Pricing Strategist (ML & Optimization) in London employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Pricing Strategist (ML & Optimization) in London
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Market Pricing Strategist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your predictive modelling skills and market pricing strategies. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your leadership experience! When chatting with potential employers, highlight times when you’ve led a team or influenced stakeholders. We want to see how you can bring that experience to the table 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 are proactive about their job search!
We think you need these skills to ace Senior Market Pricing Strategist (ML & Optimization) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in insurance pricing and any relevant predictive modelling skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Market Pricing Strategist role. Share specific examples of how you've led teams or developed successful pricing strategies in the past.
Showcase Your Analytical Skills: Since this role involves developing predictive models, make sure to highlight your analytical skills in both your CV and cover letter. We love seeing how you’ve used data to drive decisions and improve pricing strategies.
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 regarding your application status!
How to prepare for a job interview at Ageas
✨Know Your Numbers
As a Senior Market Pricing Strategist, you'll need to demonstrate your expertise in pricing strategies. Brush up on key metrics and be ready to discuss how you've used data to influence pricing decisions in your previous roles.
✨Showcase Your Leadership Skills
Since the role involves leading a team, prepare examples of how you've successfully managed projects or teams in the past. Highlight your ability to motivate others and drive results, as this will resonate well with the interviewers.
✨Engage with Stakeholders
This position requires interaction with senior stakeholders, so practice articulating your ideas clearly and confidently. Think of scenarios where you've effectively communicated complex information to non-technical audiences.
✨Prepare for Predictive Modelling Questions
Expect technical questions related to predictive modelling and optimisation techniques. Review relevant methodologies and be ready to discuss how you've applied them in real-world situations, showcasing your analytical skills.
