LEAD RISK PRICING ANALYST | 29565

The Emerald Group Ltd, Search and Selection; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

The Emerald Group Ltd, Search and Selection is seeking an experienced Pricing Manager to lead Pricing Analysts and Senior Pricing Analysts in a complex insurance pricing environment. You will develop and validate predictive models, create robust data sets for modelling and monitoring, and oversee deployment of pricing changes.

You will mentor junior staff, influence senior stakeholders, and translate advanced analytics into actionable business insights.

Qualifications

• Degree educated (or equivalent) in a numerical or analytical discipline, demonstrating strong quantitative capability.

Responsibilities

• Manage, develop and coach Pricing Analysts and Senior Pricing Analysts.
• Develop, validate, review and approve predictive and machine learning models.
• Develop and deliver up-to-date datasets for modelling, pricing and monitoring.
• Maintain pricing models and support their deployment.
• Carry out pricing analyses and prepare recommendations for senior stakeholders.
• Deploy and review rate releases in the rate engine/live environment.
• Combine MI, modelling results and company targets to evaluate pricing performance.
• Lead projects across all stages of the price control cycle as required.

Skills

Pricing analytics

Stakeholder management

Coaching junior staff

Data interpretation

Statistical modelling

Education

Degree in numerical/analytical discipline

Tools

SAS

Databricks

Emblem

Radar

Job description

Overview

Key responsibilities including but not limited to:

• Management, development and coaching of Pricing Analysts and Senior Pricing Analysts.
• Develop, validate, review and approve predictive and machine learning models
• Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
• Development and maintenance of pricing models and support for their deployment
• Carry out pricing analyses and prepare recommendations for senior stakeholders
• Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment
• Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets
• Execution, development and project management across all stages of the price control cycle as required

Overview

Key responsibilities including but not limited to:

• Management, development and coaching of Pricing Analysts and Senior Pricing Analysts.
• Develop, validate, review and approve predictive and machine learning models
• Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
• Development and maintenance of pricing models and support for their deployment
• Carry out pricing analyses and prepare recommendations for senior stakeholders
• Carry out deployment/send instructions for rate releases and review of rates into rate engine/live environment
• Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets
• Execution, development and project management across all stages of the price control cycle as required

Qualifications Required

• Degree educated (or equivalent) in a numerical or analytical discipline, demonstrating strong quantitative capability.

Experience Required

• 4-5 years experience in insurance pricing, with the ability to apply insight to real world business challenges.
• Proficient in key programming languages such as SAS, Databricks, with the ability to manipulate and interpret complex datasets.
• Hands on experience with industry-standard tools, including Emblem and Radar.
• A strong problem-solver, able to use data and analytics to tackle complex business issues and deliver actionable recommendations.
• Experienced in coaching and developing junior team members, helping to build capability and strengthen pricing expertise within the team.
• Confident influencing stakeholders at all levels, including senior management and directors, with the ability to shape thinking and support key decisions.
• Able to communicate advanced statistical and modelling concepts clearly, translating technical analysis into meaningful insights for non-technical audiences.