Technical Pricing Analyst

Job Title: Technical Pricing Analyst 

Locations: Manchester, flexible hybrid position. 

Role Overview

This role is for Atlanta Group, part of the Markerstudy Group.

Markerstudy Group are looking for a Technical Pricing Analyst to help deliver the technical pricing strategy for our delegated authority insurance products. 

Your role is critical in ensuring accurate risk pricing are developed and refreshed on a regular basis to improve the predictiveness of our technical pricing models.

You’ll collaborate with cross-functional teams, develop pricing recommendations, manage product performance and develop your team of analysts alongside continually improving our pricing capability.

As a Technical Pricing Analyst, you will use your advanced analytical skills to:

• Lead components of each risk pricing project playing a significant role in risk model builds and refreshes across all product lines.
• Work closely with stakeholders across the business to ensure data used for risk modelling is consistent, efficient and suitable for modelling.
• Contribute to delivering our commercial objectives by continuing to build and maintain our risk pricing models efficiently to achieve profitable growth for the wider business and our capacity partners.
• Manage relationships with our key internal and external stakeholders.
• Supporting and contribute to key projects across the business as a pricing SME.
• Work with the Portfolio Management and Underwriting teams on risk appetite, product development and innovation to ensure that pricing models have the appropriate level of expert input.
• Communicate effectively and build trusting relationships by understanding and meeting expectations of key internal and external stakeholders.

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 good 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