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- Tasks: Lead pricing strategies for motor and home insurance, enhancing models and driving business growth.
- Company: Join a leading UK insurer with a focus on innovation and teamwork.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Opportunity to work with cutting-edge tools and grow within a supportive team.
- Why this job: Make a real impact in the insurance industry while developing your skills in data science.
- Qualifications: Strong analytical skills and experience in predictive modelling; leadership experience is a plus.
The predicted salary is between 60000 - 75000 £ per year.
Join a leading UK insurer's Technical Modelling Team as a Pricing Manager, delivering key strategic pricing objectives across motor and home insurance products. You'll collaborate with senior stakeholders to strengthen pricing capabilities through best-practice methodologies, governance frameworks, and robust controls, while leveraging internal and external datasets (including broker-specific data) to enhance predictive models and support profit objectives.
Key Responsibilities
- Work with senior stakeholders to implement modelling and rating changes that enhance loss ratio, risk selection, and business growth across motor and home portfolios, representing Pricing as subject matter expert in key forums and translating complex technical information for non-technical audiences.
- Lead and develop a diverse team of pricing specialists within the Technical Pricing Department, ensuring capability progression, alignment with company values, and fostering a culture of continuous improvement and agility.
- Establish and maintain best-practice pricing methodologies, governance frameworks, and robust controls while leveraging internal and external datasets to enhance predictive pricing models and support strategic profit and growth objectives.
- Maintain expertise in Pricing and Data Science tools (WTW Radar, SQL, Python, Databricks) while staying current with market and technological trends to drive innovation and optimise pricing infrastructure across the business.
Qualifications:
- Expert understanding of predictive modelling and machine learning techniques for technical rating in motor and home insurance, with excellent numerical and analytical skills, strong attention to detail, and exceptional critical thinking ability.
- Self-motivated leader with proven ability to manage, develop, and support teams while remaining effective under pressure, building strong interpersonal relationships across functions, and collaborating confidently with senior stakeholders.
- Minimum 2:1 bachelor's degree (or equivalent) in a numerical discipline with commitment to continuous learning in analytics, data science, AI, and emerging technologies; project management skills advantageous.
Pricing Manager in Warrington employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Manager in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in pricing or insurance. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience with predictive modelling and data analysis. This will help you stand out when discussing your capabilities with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to pricing strategies and technical modelling. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Pricing Manager in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Pricing Manager. Highlight your experience with predictive modelling and any relevant tools like SQL or Python. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing in the insurance sector and how you can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Team Leadership Skills: Since this role involves leading a diverse team, make sure to highlight your leadership experience. Share examples of how you've developed teams and fostered a culture of continuous improvement. We’re all about collaboration here!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Eames Consulting
✨Know Your Numbers
As a Pricing Manager, you'll need to demonstrate your expertise in predictive modelling and analytical skills. Brush up on key metrics related to motor and home insurance, and be ready to discuss how you've used data to drive pricing strategies in the past.
✨Speak Their Language
You'll be collaborating with senior stakeholders, so it's crucial to translate complex technical information into terms they can understand. Practice explaining your previous projects or methodologies in simple language, focusing on the impact rather than the technical details.
✨Showcase Your Leadership Skills
Since you'll be leading a diverse team, prepare examples that highlight your leadership style and how you've developed team members in the past. Think about specific instances where you fostered a culture of continuous improvement and agility.
✨Stay Current with Trends
The insurance industry is always evolving, especially with new technologies. Familiarise yourself with the latest trends in pricing tools like WTW Radar, SQL, and Python. Be ready to discuss how you can leverage these tools to optimise pricing infrastructure and support profit objectives.