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Principle Pricing Analyst

Easterseals New York

Manchester

On-site

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

A leading company in the insurance sector is seeking a Principal Pricing Analyst to enhance pricing capabilities within a growing department. The role involves utilizing advanced modeling techniques and tools to create actionable pricing solutions, influencing strategy, and coaching team members. Ideal candidates will have a strong background in insurance pricing and statistical programming, coupled with excellent communication skills.

Qualifications

  • Experience in general insurance pricing.
  • Knowledge of various predictive modeling techniques.
  • Ability to communicate results clearly.

Responsibilities

  • Influence project direction and outcomes as a key stakeholder.
  • Provide technical leadership on WTW toolkit.
  • Deliver regular management information on KPIs.

Skills

Insurance Pricing
Predictive Modeling
Communication

Education

Quantitative Degree

Tools

R
Python
SAS
SQL
WTW Radar

Job description

Job Title: Principal Pricing Analyst

Location: Manchester (flexible)

Role Overview

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

Markerstudy Group is looking for a Principal Pricing Analyst to join a rapidly growing and developing pricing department across various insurance lines.

You will utilize your technical expertise, in-depth knowledge of the insurance industry, and market-leading tools to produce creative and actionable pricing solutions. The goal is to maximize Atlanta’s ability to meet its strategy and annual plan, while also influencing that strategy through regular identification of opportunities to Pricing Managers, the Head of Pricing, and the Executive Committee. This role involves coaching team members and championing best practices across the department.

Reporting to the Head of Pricing, you will use tools like WTW Radar and Emblem, and will be responsible for developing and maintaining predictive models (GLM), price optimization including machine learning algorithms (GBM), LTV (Lifetime Value), and fair pricing principles, ultimately creating value for our customers and Atlanta.

Bringing best-in-class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, and communicate these effectively to stakeholders at all levels to support informed decision-making.

You’ll manage multiple priorities in a fast-paced, dynamic environment, balancing stakeholder expectations with workload management.

Key Responsibilities:
  • Influence project direction and outcomes as a key stakeholder
  • Provide technical leadership on WTW toolkit, especially Radar Optimiser, to drive effective solutions
  • Lead thought leadership on optimization and modeling concepts
  • Research, develop, and promote best practice methods and standards within the department
  • Enhance the Group's pricing capabilities
  • Query large databases to extract and manipulate data for purpose
  • Develop and implement leading methodologies identified by the team
  • Deliver regular management information on KPIs related to Atlanta's performance
  • Continuously evaluate and improve methodologies within the broader context
Key Skills and Experience:
  • Experience in general insurance pricing
  • Knowledge of predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering
  • Proficiency 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 with WTW’s Radar software (preferred)
  • Ability to communicate results clearly, both verbally and in writing
Behaviors:
  • Self-motivated with a desire to learn and develop
  • Logical thinker with a professional, positive attitude
  • Passionate about innovation, process improvement, and challenging norms
  • Good personality and sense of humor
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