Pricing Optimisation Analyst - Insurance (Hybrid)

Mesh-AI Limited; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A forward-thinking insurance company is seeking a Pricing Optimisation Analyst to develop models and enhance pricing strategies. You'll work in a fast-paced environment, leveraging advanced analytics and machine learning techniques to shape performance. Expectations include UK insurance experience, strong analytical skills, and the ability to communicate insights effectively. This role offers hybrid working in London, plus additional perks including a learning budget and enhanced parental leave.

Benefits

Pension contributions matched up to 7%

Learning budget of £1,000 per year

Enhanced maternity & paternity leave

Travel season ticket loan

Access to London O2 events

Qualifications

• Experience in UK General Insurance (Motor and/or Home).
• Solid understanding of pricing principles and regulatory governance.
• Ability to present technical insights clearly to non-technical audiences.

Responsibilities

• Develop and maintain customer lifetime value and price sensitivity models.
• Deliver pricing optimisation processes including Efficient Frontier modelling.
• Collaborate across teams to support strategic initiatives.

Skills

Experience in UK General Insurance

Commercially minded and insight-driven

Proactive with a bias for action

Hands-on experience with statistical modelling

Excellent communication skills

Strong organisational skills

Tools

Emblem

Radar

Earnix

Job description

A forward-thinking insurance company is seeking a Pricing Optimisation Analyst to develop models and enhance pricing strategies. You'll work in a fast-paced environment, leveraging advanced analytics and machine learning techniques to shape performance. Expectations include UK insurance experience, strong analytical skills, and the ability to communicate insights effectively. This role offers hybrid working in London, plus additional perks including a learning budget and enhanced parental leave.