Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Pricing Analyst - Modelling

Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Pricing Data Scientist

Senior Securities Data Analyst, Pricing & Custody Data, Investment Management

Senior Securities Data Analyst, Pricing & Custody Data, Investment Management

Senior Securities Data Analyst, Pricing & Custody Data, Investment Management

Senior Commercial Data Analyst

Senior Commercial Data Analyst - EMEA

Job Title: Senior Pricing Analyst - Modelling

Locations: hybrid working for our Manchester Office (Salford)

Role Overview

Markerstudy Group are looking for a Senior Pricing Analyst (Modelling) to join a growing and established team.

You will be responsible for utilising your technical expertise and in-depth knowledge of the insurance industry and market leading tools to produce creative and actionable pricing solutions. This is to maximise Atlanta’s ability to meet its strategy and annual plan but should also influence that strategy through regular identification of opportunities to Pricing Managers, Head of Pricing and the Executive Committee. This role requires a large element of coaching team members and championing modelling best practices across the department.

As a Senior Pricing Analyst - Modelling, you will use your advanced analytical skills to:

Provide technical leadership on WTW toolkit (in particular Emblem and Radar) to drive forward effective and efficient solutions which deliver business requirements and add demonstrable value

Provide thought leadership on modelling concepts

Lead and manage the development of effective and efficient solutions which deliver business requirements and add demonstrable value

Ensure that all team members follow quality assurance processes and manage risk adhering to all relevant policies

Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department

Plan, design and lead the development of Atlanta's pricing capability.

Through ongoing research, maintain an extensive knowledge of statistical techniques to ensure Atlanta has a market leading approach to analysis and modelling.

Assist Pricing Managers in making tactical and strategic decisions.

Deputise for Pricing Managers, Head of Pricing

Key Skills and Experience:

Previous experience within general insurance pricing

Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering

Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)

A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)

Proven experience of modelling using WTW toolkit (Emblem and Radar)

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

Behaviours:

Self-motivated with a drive to learn and develop

Logical thinker with a professional and positive attitude

Passion to innovate, improve processes and challenge the norm

About the business:

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.

Having acquired and successfully integrated Co-op Insurance Services in 2021 & BGLi in 2022, Markerstudy are now pursuing innovative pricing techniques, taking advantage of an award-winning insurer hosted rating platform, whilst challenging existing embedded 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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.