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
