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- Tasks: Lead pricing projects, develop and validate predictive models, and enhance datasets.
- Company: Join a dynamic insurance company with a focus on innovation.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Why this job: Make an impact in pricing strategy while working with advanced analytical techniques.
- Qualifications: 2-3 years in insurance pricing and proficiency in programming languages like SAS, SQL, and Python.
- Other info: Collaborative team environment with a focus on continuous improvement and learning.
The predicted salary is between 36000 - 60000 £ per year.
Fantastic opportunity to join their Pricing team as a Lead Pricing Analyst, assisting to plan and deliver pricing related projects to deadline and quality standards
- Type: Permanent
Key Duties (Including but not limited to):
- Develop, validate, review, and approve radar models; exploring new techniques to improve model predictiveness carrying out AvE reviews
- Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring; exploring new data sets and their ability to enhance models
- Development and maintenance of pricing models and support for their deployment
- 2 – 3 years\’ experience in insurance pricing or related analytical background
- Highly skilled in the use of programming languages such as; SAS, SQL, Python and able to manipulate data
- Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets
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Lead Pricing Analyst - 29021 employer: The Emerald Group
Contact Detail:
The Emerald Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Pricing Analyst - 29021
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in pricing roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with programming languages and predictive modelling techniques. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions related to pricing analysis and data manipulation. Mock interviews with friends can help you feel more confident when it’s your turn.
✨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.
We think you need these skills to ace Lead Pricing Analyst - 29021
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Pricing Analyst role. Highlight your experience in insurance pricing and any relevant programming skills like SAS, SQL, or Python. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: When writing your application, don’t just list your skills—show us how you've used them! If you've worked with predictive modelling techniques, give us examples of how you applied them in real projects. This helps us see your practical experience.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the important stuff without unnecessary fluff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role right there!
How to prepare for a job interview at The Emerald Group
✨Know Your Models
Make sure you brush up on your knowledge of radar models and predictive modelling techniques. Be ready to discuss how you've developed, validated, or improved models in the past. This shows you're not just familiar with the concepts but have practical experience too.
✨Data is Key
Since the role involves working with datasets, be prepared to talk about your experience with data manipulation using SAS, SQL, or Python. Have specific examples ready where you’ve used these tools to enhance pricing models or deliver accurate datasets.
✨Stay Current
The field of pricing analytics is always evolving, so show that you’re keeping up with new techniques and data sets. Mention any recent trends or technologies you’ve explored that could improve model predictiveness. This demonstrates your commitment to continuous learning.
✨Practice Problem-Solving
Expect to face some scenario-based questions during the interview. Practice articulating your thought process when tackling complex pricing problems or model deployment challenges. This will help you showcase your analytical skills and how you approach real-world issues.
