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- Tasks: Collaborate on pricing activities and engage in predictive analytics projects.
- Company: Leading recruitment agency with a focus on the London market.
- Benefits: Hybrid working, competitive salary, and opportunities for career transition.
- Why this job: Make a significant impact in pricing while developing your analytical skills.
- Qualifications: At least 2 years in general insurance and strong IT skills in Excel, Python/R, SQL, and VBA.
- Other info: Pivotal opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency is seeking two actuarial analysts for a pricing team in London. These roles are suitable for candidates with at least 2 years in general insurance.
Responsibilities include:
- Collaborating with stakeholders on pricing activities
- Engaging in predictive analytics projects
Strong IT literacy in Excel, Python/R, SQL, and VBA is necessary. This opportunity allows for a pivotal transition into pricing from other actuarial areas. Hybrid working is available with 3 days in the office.
Pricing Actuarial Analyst - London Market employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Actuarial Analyst - London Market
✨Tip Number 1
Network like a pro! Reach out to your connections in the actuarial field, especially those who work in pricing. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with predictive analytics and your IT skills in Excel, Python/R, SQL, and VBA. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for actuarial roles, especially those related to pricing strategies and stakeholder collaboration. Mock interviews with friends can help you nail it.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing familiar faces!
We think you need these skills to ace Pricing Actuarial Analyst - London Market
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in general insurance and any relevant skills in Excel, Python/R, SQL, and VBA. We want to see how your background aligns with the pricing analyst role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your skills can contribute to our pricing team. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Analytical Skills: Since this role involves predictive analytics, be sure to mention any projects or experiences where you've used data analysis to drive decisions. We’re looking for candidates who can demonstrate their analytical prowess, so give us the goods!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Eames Consulting
✨Know Your Numbers
Brush up on your general insurance knowledge and be ready to discuss specific pricing models you've worked with. Make sure you can explain how your analytical skills have contributed to pricing decisions in your previous roles.
✨Showcase Your Tech Skills
Since strong IT literacy is key, prepare to demonstrate your proficiency in Excel, Python/R, SQL, and VBA. Bring examples of projects where you've used these tools to solve problems or improve processes.
✨Engage with Stakeholders
Think about times when you've collaborated with stakeholders. Be ready to share how you communicated complex actuarial concepts to non-technical team members and how you ensured their input was valued in the pricing process.
✨Prepare for Predictive Analytics Questions
Expect questions around predictive analytics. Brush up on relevant techniques and be prepared to discuss how you've applied them in past projects. Highlight any successful outcomes that resulted from your analyses.
