Markerstudy Group
Technical Pricing Manager

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Job Title: Technical Pricing Manager
Location: A large portion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local.
Role purpose
We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches.
You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output.
Key Responsibilities
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- End to end production of pricing models using a tailor-made pricing pipeline
- Use of Earnix 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
- Evaluate and utilise tools and data items created by the data science teams
- Ensure all activity is compliant with pricing governance and follows established controls
- Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
- Manage, mentor and coach more junior members of the team


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About you:
- Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject
- Experience in a pricing or actuarial role within general insurance
- Experience with price optimisation tools (Earnix/Radar)
- Experience using and implementing advanced machine learning methods
- Able to communicate complicated statistical concepts to an informed but non-technical audience
- Experience with using software packages such as R or Python to solve problems
- Proven ability to deliver commercial value through pricing insight
- Proven ability to provide commercial uplift from research and development projects
- Strong people management skills
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