Senior Pricing Analyst

Markerstudy Group; Manchester; Hybrid; GBP 40,000 - 65,000; Full time

Job summary

A leading insurance provider in the UK seeks a Senior Pricing Analyst in Manchester or Haywards Heath. The role focuses on developing innovative pricing models and data solutions while collaborating with various teams to enhance products and strategies. The ideal candidate will have robust experience in predictive modeling and strong programming skills, making an impact in a rapidly evolving pricing department.

Qualifications

• At least 2 years of experience in general insurance pricing.
• Experience with predictive modeling techniques like Logistic Regression, GBMs, and Neural Nets.
• Proficient in programming languages for data analysis.

Responsibilities

• Develop advanced pricing models using data science techniques.
• Automate reporting structures to monitor pricing performance.
• Collaborate with teams to improve products and strategies.

Skills

Predictive modeling techniques

Communication skills

Analytical skills

Tools

R

Python

SAS

SQL

PySpark

WTW’s Radar

Job description

Social network you want to login/join with:

Locations: Haywards Heath or Manchester (Hybrid)

Role Overview

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

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of private cars on UK roads, a percentage of commercial vehicles, and motorcycles, with total premiums of approximately £1.2 billion. The company works with household names such as Co-op, Sainsbury’s, O2, Halifax, AA, Saga, and Lloyds Bank, and has a significant direct market presence.

Following the acquisition and integration of Co-op Insurance Services and BGLi, Markerstudy is pursuing innovative pricing techniques, leveraging an award-winning insurer-hosted rating platform and challenging existing processes.

Responsibilities

• Use advanced analytical skills to influence project directions across personal lines products.
• Create innovative data solutions to extract insights and present data effectively.
• Build and maintain sophisticated models, applying various data science techniques.
• Develop automated reporting structures to monitor pricing performance.

Collaborate with retail or technical pricing teams and underwriting to improve products and pricing strategies, providing a competitive edge.

Key Responsibilities

• Develop advanced pricing models using traditional and data science techniques for various accounts.
• Promote the adoption of data science and statistical techniques in pricing and underwriting.
• Research and utilize new data sources, identifying trends with innovative features.
• Communicate findings to decision-makers for actionable insights.
• Review performance metrics of key accounts.
• Work with peers in pricing, underwriting, and data science.
• Automate repetitive tasks.
• Use specialist software to monitor trends and assess pricing proposals.
• Mentor and coach team members.

Skills and Experience

• At least 2 years of experience in general insurance pricing.
• Experience with predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering.
• Proficiency in programming languages like R, Python, PySpark, SAS, SQL.
• Experience with WTW’s Radar software is preferred.
• Excellent communication skills, both verbal and written.

Behaviors

• Self-motivated with a desire to learn and develop.
• Logical thinker with a positive attitude.
• Passionate about innovation, process improvement, and challenging norms.