Head of Risk Pricing

Haywards Heath
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Engineering & Technical Assurance

Cyber Security Operations Manager

Vice President, Trustee & Depositary Manager - Fund Oversight Vice President - Trustee & Depositary team

Head of AI – 120k – 150k GenAI / Agentic AI – Brighton (Hybrid) – AI-native Scale-up

Head of Azure Platform Security

Head of Hardware Systems

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

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.

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Advertising edge computing jobs in the UK requires a different approach to most technical hiring. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Edge Computing Employers to Watch in 2026: UK and Global Companies Shaping Edge Innovation

Edge computing is transforming how data is processed by bringing compute power closer to the source of generation. With the proliferation of Internet of Things (IoT), real‑time analytics, autonomous systems, and latency‑sensitive applications, edge computing has moved from a niche discipline to a core component of digital infrastructure. In 2026, organisations that specialise in or heavily invest in edge computing are expanding their teams to build distributed systems, real‑time analytics platforms, and edge‑optimised AI. For professionals exploring opportunities on www.EdgeComputingJobs.co.uk , understanding which employers are growing, winning contracts, or securing investment is essential. This article highlights the new and high‑growth edge computing employers to watch in 2026, including UK startups, international innovators with a UK presence, and established companies shifting strategy toward edge.

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.