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- Tasks: Lead pricing projects and develop predictive models to drive business growth.
- Company: Dynamic insurance firm with a focus on innovation and collaboration.
- Benefits: Hybrid work, competitive salary, and opportunities for professional development.
- Why this job: Shape the future of pricing strategies and make a real impact in the insurance industry.
- Qualifications: 1-3 years in insurance pricing and strong programming skills required.
- Other info: Join a supportive team with excellent career advancement potential.
The predicted salary is between 42000 - 60000 £ per year.
The Senior Household Pricing Analyst will plan and deliver pricing related projects to deadline and quality standards. They will directly influence the future growth and profitability of the business.
Location: Hampshire/Hybrid
Type: Permanent
Responsibilities
- Management, development and coaching of Pricing Analysts
- Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
- Develop, validate, review and approve predictive and machine learning models
- Development and maintenance of pricing models and support for their deployment
Qualifications
- 1-3 years General Insurance pricing experience
- Experience in insurance pricing or related analytical background
- Highly skilled in the use of programming language (e.g. SAS) to manipulate data
- Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave)
Senior Household Pricing Analyst – 29226 employer: The Emerald Group
Contact Detail:
The Emerald Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Household Pricing Analyst – 29226
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and pricing sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your programming skills. Make sure you can confidently discuss your experience with SAS, R, or Python. We want you to shine when they ask about your analytical background!
✨Tip Number 3
Showcase your projects! If you've worked on any pricing models or predictive analytics, be ready to talk about them. Real-world examples will help you stand out and demonstrate your expertise.
✨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 Household Pricing Analyst – 29226
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Household Pricing Analyst role. Highlight your relevant experience in insurance pricing and any programming skills you have, like SAS or Python. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you've used them! If you've developed or validated pricing models before, give us a brief example. We love seeing real-world applications of your expertise.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you get to the heart of why you're a great fit for the role without rambling on.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at The Emerald Group
✨Know Your Numbers
As a Senior Household Pricing Analyst, you'll be dealing with data all the time. Brush up on your analytical skills and be ready to discuss specific examples of how you've used programming languages like SAS or Python in your previous roles. This will show that you can hit the ground running.
✨Showcase Your Leadership Skills
Since the role involves managing and coaching Pricing Analysts, think of instances where you've led a team or mentored someone. Be prepared to share these experiences during the interview to demonstrate your leadership capabilities.
✨Prepare for Technical Questions
Expect some technical questions related to predictive modelling and machine learning. Review key concepts and be ready to explain how you've developed or validated models in the past. This will highlight your expertise and confidence in the field.
✨Understand the Business Impact
The role directly influences growth and profitability, so it's crucial to understand how pricing strategies affect the business. Research the company’s current pricing strategies and be ready to discuss how you can contribute to their success. This shows you're not just about numbers but also about driving results.
