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For Companies At a Glance
- Tasks: Analyze pricing data and help improve business performance.
- Company: Join a growing team focused on personal lines pricing.
- Benefits: Exciting growth period with opportunities for professional development.
- Why this job: Perfect for data enthusiasts looking to make an impact in a dynamic environment.
- Qualifications: Experience in General Insurance and strong numerical skills required.
- Other info: Contact Tilly for more details at tilly.martin-redman@eamesconsulting.com.
The predicted salary is between 28800 - 42000 £ per year.
Job Description
A leading motor insurer is looking to hire a Pricing Analyst to join their team in London. They do 2 days per week in the office.
This role will be focused on their commercial motor. They use python daily and you will gain exposure to end-to-end pricing. You can expect to be utilising advanced actuarial and data science techniques, and also supporting the development of MI and reporting processes. You will also be working to make sure activity is aligned with the pricing strategy.
The Head of Pricing is looking to speak to those with 1-3 years' of pricing experience in personal lines or commercial lines.
For more information please do reach out via email at hannah.turner@eamesconsulting.com
Eames Consulting is acting as an Employment Agency in relation to this vacancy.
Pricing Analyst employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Make sure to showcase your experience in general insurance (GI) during any conversations or networking opportunities. Highlight specific projects or analyses you've worked on that demonstrate your expertise in pricing.
✨Tip Number 2
Brush up on your data manipulation skills. Familiarize yourself with tools and software commonly used in pricing analysis, such as Excel, R, or Python, as this will help you stand out as a candidate who can hit the ground running.
✨Tip Number 3
Prepare to discuss how you've used data interpretation to drive business performance in previous roles. Be ready with examples that illustrate your analytical thinking and problem-solving abilities.
✨Tip Number 4
Network with professionals in the insurance industry, especially those in pricing roles. Engaging with others in the field can provide valuable insights and potentially lead to referrals for the position you're interested in.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Pricing Analyst position. Understand the key responsibilities and required skills, especially focusing on experience in General Insurance (GI) and data manipulation.
Highlight Relevant Experience: In your CV and cover letter, emphasize any previous roles or projects where you have worked with pricing analysis or data interpretation. Use specific examples to demonstrate your numeracy and analytical skills.
Show Your Inquisitive Nature: In your application, convey your inquisitive nature by discussing how you approach problem-solving and data analysis. Mention any tools or methodologies you use to derive insights from data.
Tailor Your Application: Customize your CV and cover letter to align with the company's goals and values. Make sure to address how your skills can contribute to improving business performance, as mentioned in the job description.
How to prepare for a job interview at Eames Consulting
✨Show Your Analytical Skills
Be prepared to discuss your experience with data manipulation and interpretation. Bring examples of how you've used data to drive business performance in previous roles.
✨Demonstrate Your Inquisitive Nature
During the interview, ask insightful questions about the company's pricing strategies and challenges. This will showcase your curiosity and eagerness to contribute.
✨Highlight Relevant Experience
Make sure to emphasize any experience you have in general insurance (GI). Discuss specific projects or tasks that relate directly to personal lines pricing.
✨Prepare for Technical Questions
Expect technical questions related to pricing models and data analysis tools. Brush up on relevant software and methodologies to demonstrate your expertise.
