Job Title: Principal Pricing Analyst
This is a remote working opportunity.
Role Overview
You will Utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This is to maximise the company'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 Executive Committee. This role requires a large element of coaching team members and championing best practice across the department.
Reporting to the Head of Pricing, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles.
Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times.
You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload.
As a Principal Pricing Analyst, you will use your advanced analytical skills to:
Be a key stakeholder influencing the direction & outcome of projects
Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions
Provide thought leadership on optimisation and modelling concepts
Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department
Lead the development of the Groups pricing capability
Query large databases to extract and manipulate data that is fit for purpose
Oversee and assist in the development and implementation of the market leading methodologies you've identified
Deliver regular management information on specific KPI's relating to Atlanta's performance
Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved
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)
Experience of WTW’s Radar software is preferred
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