National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Risk Pricing

Haywards Heath
5 days ago
Create job alert

Job Title: Head of Risk Pricing

Locations: Haywards Heath or Manchester (Hybrid)

Role Overview

Markerstudy Group are looking for a Head of Risk Pricing to lead our technical risk pricing team and implement the company’s pricing strategy for broker and direct channels.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b.  The majority of business is written as the insurance pricing provider behind household names such as Co-op, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few and Markerstudy also has a large and growing direct presence in the market as well.

Markerstudy are building a market-leading pricing environment, integrating AI, machine learning and distributed computing into the heart of the underwriting, pricing and product management processes, and implementing innovative techniques and solutions. You will leverage your extensive pricing experience to guide the implementation of a market leading modelling roadmap and pricing strategy that will give Markerstudy a critical advantage in the increasingly competitive insurance market.

As the Head of Risk Pricing, you will:

Lead the technical risk pricing team to deliver technical rates incorporating regularly maintained risk models and delivering the company’s strategy and risk appetite.

Engage with the retail pricing, underwriting and data science teams and work collaboratively to deliver rates.

Own the roadmap of technical advancement and processes that monitor the robustness and stability of pricing outcomes.

Engage with stakeholders across the business and ensure that the strategic objectives feed into the team.

Build and mentor the team, leading by example.

Key Responsibilities:

Lead the risk pricing team to:

Develop and maintain risk models, leveraging both traditional and machine learning techniques.

Monitor the quality of risk modelling, including accuracy, drift and stability of trends.

Manage inflationary, IBNR and other risk trends within the technical rates in collaboration with the reserving and claims teams.

Engage with underwriting to incorporate insights into the models and validate models.

Ensure the production of complete and accurate model review report to support the approval of models.

Own the production of regular reporting of technical portfolio and model performance.

Actively seek new data sources and continually improve the features within the models.

Support the wider business risk exposure data requirements, including reinsurance.

Build and mentor the team of 15-20 pricing analysts/managers, leading by example.

Engage with the underwriting, retail pricing and data science teams and work collaboratively to deliver pricing outcomes as one team.

Own the technical roadmap and deliver the development plan.

Own the risk pricing policy, processes and controls, and ensure accurate and compliant rates.

Leverage the machine learning and distributed computing platforms to guide the team in delivering efficient and robust outcomes.

Stay abreast of market conditions, emerging issues and the regulatory environment.

Communicate results to key decision makers across the business

Engage with executive management around the activities and outputs of the team and help define the overall pricing strategy.

Link-in with the data and machine learning team and help drive forward the industrialisation of data, reporting and modelling.

Engage with pricing teams within affinity, partnerships and broking divisions, and help define best practice across the group.

Key Skills and Experience:

Ph.D. or masters in statistics, actuarial science, data science or equivalent field

Previous experience within personal lines insurance pricing

Experience managing pricing processes and teams

Experience and detailed technical knowledge of predictive modelling and data science techniques

Experience with pricing tools and rating engines (e.g. Radar/Emblem, Earnix)

Proficient at communicating results in a concise manner both verbally and written

Behaviours:

Motivated by technical excellence

Team player

Self-motivated with a drive to learn and develop

Logical thinker with a professional and positive attitude

Passion to innovate and improve processes

Related Jobs

View all jobs

Head of Risk, Compliance & Procurement

Head of Quantitative Risk Analytics...

Senior Investment Risk Analyst

Senior Pricing Analyst

Head of Volume Management

Head of Credit Risk IT

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.