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- Tasks: Support Underwriters with pricing models and enhance data-led capabilities.
- Company: Leading insurance firm in London with a focus on innovation.
- Benefits: Competitive salary, annual leave, health insurance, and more.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: 3 years of experience with advanced skills in Python, SQL, and Power BI.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading insurance firm in London seeks a Pricing Actuary to support Underwriters with pricing models and risk selection. The role involves collaborating across teams to enhance data-led capabilities and create analytical tools.
Ideal candidates should have at least 3 years of experience and advanced skills in Python, SQL, and Power BI.
This position offers a competitive salary and extensive benefits, including annual leave and health insurance.
Impact Analytics & Pricing Actuary – Entry Level, London employer: Convex Insurance
Contact Detail:
Convex Insurance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact Analytics & Pricing Actuary – Entry Level, London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and analytics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and Power BI. This will not only demonstrate your technical abilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for actuaries and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Tip Number 4
Don’t forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Impact Analytics & Pricing Actuary – Entry Level, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Power BI. 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 the role and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Analytical Skills: Since this role involves creating analytical tools, include examples of how you've used data to drive decisions in past roles. We’re looking for candidates who can think critically and apply their knowledge effectively.
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 to do!
How to prepare for a job interview at Convex Insurance
✨Know Your Numbers
Brush up on your technical skills, especially in Python, SQL, and Power BI. Be ready to discuss how you've used these tools in past projects or internships. Having specific examples will show that you can hit the ground running.
✨Understand the Business
Research the insurance firm and its market position. Understand their products and how pricing models impact their business. This knowledge will help you answer questions more effectively and demonstrate your genuine interest in the role.
✨Collaboration is Key
Since the role involves working with Underwriters and other teams, be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, highlighting your communication skills and ability to work across departments.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about the company's approach to data-led decision-making or how they envision the role evolving. This shows you're engaged and thinking about your future with them.
