Technical Pricing Analyst

Manchester
1 month ago
Applications closed

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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

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