At a Glance
- Tasks: Enhance risk pricing algorithms and support predictive modelling for insurance claims.
- Company: Leading insurance provider in Greater London with a focus on innovation.
- Benefits: Flexible hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make a real impact on insurance pricing strategies.
- Qualifications: Strong mathematical skills and experience with Python and SQL.
The predicted salary is between 50000 - 60000 £ per year.
A leading insurance provider in Greater London is looking for a Senior Pricing Analyst to enhance risk pricing algorithms. The successful candidate will work closely with the Retail Pricing team, focusing on predictive modelling for insurance claims costs.
Responsibilities include:
- Dataset creation
- Model deployment
- Stakeholder support
Ideal candidates will possess strong mathematical skills and familiarity with analytical tools such as Python and SQL. A flexible hybrid work model is offered, balancing office and remote work.
Senior Pricing Analyst - Insurance Claims & Risk Modelling employer: AXA Group
As a leading insurance provider in Greater London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a flexible hybrid work model, we offer a perfect balance of office and remote work, alongside ample opportunities for professional growth and development in the dynamic field of risk modelling. Join us to be part of a team that values your contributions and supports your career aspirations in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Analyst - Insurance Claims & Risk Modelling
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and analytics space on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive modelling projects, especially those using Python and SQL. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions related to risk pricing and analytical tools. Mock interviews with friends can help you feel more confident.
✨Tip Number 4
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 connect with us directly.
We think you need these skills to ace Senior Pricing Analyst - Insurance Claims & Risk Modelling
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with predictive modelling and analytical tools like Python and SQL. We want to see how your skills align with the role, 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 risk pricing and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Mathematical Skills:Since strong mathematical skills are key for this role, make sure to highlight any relevant coursework or experiences that demonstrate your expertise. We’re looking for candidates who can confidently tackle complex data challenges!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at AXA Group
✨Know Your Numbers
As a Senior Pricing Analyst, you'll need to demonstrate your strong mathematical skills. Brush up on key statistical concepts and be ready to discuss how you've applied them in previous roles, especially in predictive modelling.
✨Showcase Your Technical Skills
Familiarity with Python and SQL is crucial for this role. Prepare examples of projects where you've used these tools effectively. If possible, bring along a portfolio or code snippets that highlight your analytical prowess.
✨Understand the Business
Research the insurance provider and their approach to risk pricing. Be prepared to discuss how your work can enhance their algorithms and contribute to their goals. This shows you're not just interested in the role, but also in the company’s success.
✨Engage with Stakeholders
Since the role involves stakeholder support, think about how you can communicate complex data insights clearly. Prepare to discuss past experiences where you've successfully collaborated with non-technical teams to drive results.
