LEAD PRICING ANALYST – TRAVEL INSURANCE | 30145

As a Lead Pricing Analyst, you will be a key contributor in setting pricing strategies, enhancing analytical capabilities, and ensuring that pricing decisions are commercially sound and customer-centric. You’ll play a key part in developing their pricing analysts, fostering a collaborative environment where ideas are shared freely, and success is celebrated collectively.

• Location: London
• Category: Non-life Actuarial
• Type: Permanent

Key responsibilities including however, not limited to the following:

• Pricing Strategy Development: Lead the creation and implementation of pricing models and strategies for travel insurance products across both risk and retail, balancing commercial focus with customer fairness and regulatory compliance (FCA, Pricing Practices, etc.)
• Pricing Innovation: Drive innovation in pricing techniques (GLMs, machine learning, data enrichment, etc.) while ensuring clarity and transparency in methods used
• Software Utilisation: Utilise tools such as Emblem and Radar (Live) to develop, test, and refine pricing algorithms and models
• Market Research: Conduct competitive analysis to understand market positioning and identify areas for improvement
• Reporting: Prepare and present regular reports on pricing performance, market trends, and recommendations to senior management
• Collaboration: Work closely with Underwriting, Marketing, Claims and Product teams to ensure pricing strategies align with business objectives
• Champion team wellbeing, inclusion, and growth: mentor and develop junior team members with empathy and active support. Embed a feedback-driven culture and regularly participate in company-wide initiatives that support wellbeing, collaboration, and social responsibility
• Regulatory Compliance: Ensure pricing strategies comply with relevant regulations and industry standards
• A Bachelor’s degree in Finance, Economics, Mathematics, or a related field
• Strong analytical skills and experience in data analysis tools (e.g., Excel, SQL, R/Python desirable)
• A background in actuarial or data science within UK general insurance
• Hands-on experience in building and refining pricing models (GLMs essential; machine learning desirable)
• Familiarity with tools such as Emblem, Radar, Python, R, or SQL
• Solid understanding of the UK insurance regulatory environment, especially FCA pricing reforms
• Proven ability to coach and inspire analysts of varying levels

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