Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative pricing solutions and drive commercial success across the company.
- Company: Dynamic retail pricing division with a focus on collaboration and innovation.
- Benefits: Private medical care, yearly bonuses, 24 days leave, and life assurance.
- Why this job: Make a real impact in a fast-paced environment while leading a talented team.
- Qualifications: Strong experience in pricing management and excellent communication skills.
- Other info: Flexible hybrid working with vibrant, modern offices.
The predicted salary is between 36000 - 60000 £ per year.
This role sits within our Retail Pricing - Modelling & Optimisation division.
Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough.
Role purpose
The successful candidate is responsible for leading technical pricing solutions in order to drive commercial outcomes across the company. This includes strategic and technical leadership, team leadership, organisational awareness, ability to drive change, collaboration and innovation.
Key Responsibilities
- Strategic ownership and leadership of pricing solutions
- Drive change and innovation to ensure continuous improvement
- End to end production of pricing models using a tailor-made pricing pipeline
- Use of pricing software to build predictive statistical models and intelligently optimise customer prices
- Contribute and implement improvements to the pricing process to increase pricing performance and efficiency
- Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies
- Ensure all activity is compliant with pricing governance and follows established controls
- Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
- Manage a team of varying experience, including managers
About you:
- Strong experience managing pricing teams and managers
- Strong communication skills across a variety of audiences, particularly with senior stakeholders
- Extensive experience owning general insurance products, including knowledge of current trends and issues
- Experience of WTW’s Radar software or Earnix software
- Strong commercial acumen
- Experience of retail pricing optimisation
- Experience with predictive modelling techniques
- Experience in statistical and data science programming languages
- A quantitative degree
What we offer in return?
- A collaborative and fast paced work environment
- Private medical health care plan
- Yearly bonus scheme
- 24 days annual leave plus Bank Holidays and the ability to buy additional leave
- Life Assurance 4x annual salary
- Vibrant, modern offices
Head of Modelling & Optimisation in Salford employer: Gerrard White
Contact Detail:
Gerrard White Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Modelling & Optimisation in Salford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its pricing strategies. We suggest practising common interview questions and even role-playing with a friend. The more prepared you are, the more confident you'll feel!
✨Tip Number 3
Showcase your skills! Bring examples of your previous work or projects related to pricing models and optimisation. We want to see how you’ve driven change and innovation in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Head of Modelling & Optimisation in Salford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Modelling & Optimisation. Highlight your experience with pricing solutions and any leadership roles you've held. 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 tell us why you're passionate about pricing optimisation and how you can drive change at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with predictive modelling techniques and any software like WTW’s Radar or Earnix. We’re looking for someone who can hit the ground running, so make those skills pop!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Gerrard White
✨Know Your Pricing Models
Make sure you brush up on your knowledge of pricing models and optimisation techniques. Be ready to discuss how you've used predictive modelling in past roles, especially with tools like WTW’s Radar or Earnix. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
As a Head of Modelling & Optimisation, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've successfully managed teams and driven change in previous positions. Highlight your ability to communicate effectively with senior stakeholders and how you’ve fostered collaboration within your team.
✨Understand the Business Context
Familiarise yourself with the company’s current pricing strategies and market trends. Being able to discuss how your expertise aligns with their business objectives will set you apart. Show that you understand the importance of compliance and governance in pricing processes.
✨Prepare for Technical Questions
Expect to face technical questions related to statistical programming languages and data science. Brush up on your skills and be ready to explain your thought process when building predictive models. This is your chance to showcase your quantitative background and problem-solving abilities.
