Senior Pricing Analyst

Ageas; Greater London; Hybrid; GBP 40,000 - 50,000; Part time

Job summary

A leading insurance company is seeking a Senior Pricing Analyst to enhance its retail pricing strategies. The ideal candidate will leverage statistical techniques and data analysis to provide insights and optimize pricing models. Responsibilities include analyzing market trends, implementing pricing recommendations, and collaborating with the pricing team. This role requires a strong numerical background and familiarity with programming languages like SAS, R, and Python. The position offers a hybrid work model in London.

Qualifications

• Experience in insurance pricing or a related analytics field.
• Knowledge of General Insurance pricing methodologies and regulatory requirements.
• Hands-on experience with techniques such as GLMs and predictive modelling.

Responsibilities

• Analyse and monitor business data to identify market trends and opportunities.
• Translate market insights into impactful pricing recommendations.
• Develop and deploy predictive pricing models.

Skills

Statistical analysis

Data interpretation

Predictive modelling

Analytical programming (SAS, R, Python, SQL)

Communication of complex insights

Education

Degree in a numerical discipline

Tools

Radar

Emblem

Job description

Job Title: Senior Pricing Analyst
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £40,000 - £50,000
Location: Hybrid - London, once a month
Work Level: 3
Closing Date for applications: Tuesday 27th January
Hiring Manager: Cathy Kong

Senior Pricing Analyst: We are looking for an experienced Senior Pricing Analyst who understands what makes retail pricing and commercial success work in Personal Lines insurance. You’ll be using sophisticated statistical techniques to introduce innovative approaches to create value. You will also work closely with Pricing Managers to develop and implement complex solutions that improve pricing capabilities and help shape the strategic direction of the market pricing team and the wider Ageas UK Group.

Responsibilities

• Analyse, interpret, and monitor business data to identify market trends, product opportunities, and key rating factors, using advanced analytics and machine learning techniques to deliver actionable insights.
• Translate advanced modelling and market insight into commercially impactful pricing recommendations, providing thought leadership to drive business performance.
• Develop, validate, maintain, and deploy predictive and machine learning pricing models into rating systems (e.g. Radar), ensuring high quality datasets for modelling, pricing, and monitoring.
• Review live rates, coordinate pricing decisions across teams, monitor the impact of pricing changes post implementation, and ensure compliance with pricing fairness and data usage policies.
• Provide subject matter expertise on strategic initiatives, represent pricing in senior forums as required, and manage, develop, and coach Pricing Analysts to support capability and talent growth.

Skills and Experience

• Degree-level education in a numerical discipline with solid statistical and analytical foundations, plus experience in insurance pricing or a related analytics field.
• In-depth knowledge of General Insurance pricing methodologies, regulatory requirements, and the application of analytics to solve complex business problems.
• Hands-on experience with core techniques such as GLMs, predictive modelling, and price optimisation, with exposure to advanced methods (e.g. GBMs, GAMs, neural networks, SVMs).
• Skilled in analytical programming languages (e.g. SAS, R, Python, SQL) and familiar with pricing and modelling tools such as Emblem, Radar, or similar platforms.
• Proven ability to coach junior staff, influence senior stakeholders, communicate complex insights clearly to non-technical audiences, and work proactively with strong organisational and problem solving skills.

To find out more about this role and for information please contact Zoe Powell OR Cathy Kong.

Alternatively, click on the “Apply Button” to be considered.