£65K/yr to £75K/yr
Manchester, England
Permanent, Variable

Technical Pricing Lead

Posted by Vermelo RPO.

Job Title: Technical Pricing Lead

Locations: Manchester (flexible)

Role Overview

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

Markerstudy Group are looking for a Technical Pricing Lead to help deliver the technical pricing strategy for our delegated authority insurance products while overseeing a small team of analysts.

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 Lead, 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
  • Personality and a sense of humour
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