Senior Technical Pricing Analyst in Manchester

JOB DESCRIPTION

POSITION: Senior Technical Pricing Analyst

LOCATION: Manchester/ Hybrid

It's an exciting time in our client’s Pricing and Analytics department. Their transformation programme has recently been relaunched, aligned to the company’s Retail new Pricing and Analytics strategy. They're investing in growing in size and capability across their IT systems, analytical toolset and learning and development. They'd love to hear from motivated people who can help them deliver their commitments to their business, their customers, and their people.

They’re looking for Senior Analysts to lead and support projects across Motor or Home that continually improve productiveness and segmentation of statistical models of claims and demand across products and channels, using both traditional and data science/contemporary techniques.

Responsibilities of the Senior Technical Pricing Analyst:

• Create, validate and reconcile datasets for analysis and undertake analysis by writing and manipulating code
• Support in the creation, maintenance and deployment of rating models that predict claims cost, conversion, or retention
• Contribute to the specification, development and testing cycles for deployment of rates
• Consider the impact on customers of pricing actions and act to avoid any unfair treatment
• Lead in producing and developing appropriate monitoring for pricing and other stakeholders
• Provide technical underwriting and pricing support to assist the business in achieving its plans
• Build strong relationships with managers, peers and stakeholders

Requirements of the Senior Technical Pricing Analyst:

• Experience in a related Insurance Pricing role within Retail lines of business
• Excellent numerical mathematical skills (a degree in a mathematics related discipline or evidence of equivalent proficiency)
• Knowledge of predictive modelling for Risk and/or Demand models
• Ability to demonstrate high levels of problem-solving skills and initiative
• Ability to plan and prioritise own work and that of a small project team
• Knowledge of tool such as Python, R, SAS, SQL or other analytical language/tools are desirable
• An understanding of machine learning techniques
• An awareness of appropriate statistical techniques for insurance analysis