Risk Pricing Analyst - Home

Policy Expert – Home Risk Pricing Analyst 

🚀Are you ready to transform the insurance industry? 

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. 

Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s  No.1-rated home insurer by Review Centre since 2013. 🏆 

Hear from our team about what it's like working at Policy Expert ✨  

About the pricing team: 

As one of the fastest growing Insurers in the UK, you will enjoy a fast-paced environment and thrive in a forward-thinking culture. You will be part of a team utilizing advance analytics and machine learning techniques applied in pricing structures. You will be working in collaboration with the data engineering team and the quote engine team to support the bespoke pricing algorithms. 

Your day to day: 

The Home Risk Pricing Analyst is responsible for leading the development and maintenance of risk pricing models and frameworks to support the delivery of profitable and competitive pricing strategies.  

Collaborating with Underwriting, Insurance Risk and Financial Planning and Analysis teams, this role plays a critical part in ensuring the accuracy and efficiency of risk-based pricing initiatives. 

Under the supervision and leadership of the Home Risk Pricing Manager, the job holder’s responsibilities include: 

Primary Responsibilities 

• Risk pricing: Develop and maintain robust risk models, underwriting overlays, and expense layers to ensure pricing accuracy and operational efficiency.
• Insights & Recommendations: Provide analytical insights and recommendations to inform pricing decisions and strategies.  
• Risk model updates: Implement ad-hoc risk model changes driven by internal initiatives.
• Model performance monitoring: Track the performance of the models produced by the team (actuals vs predictions).
• Propose suggestions for models that are showing drift. 
• Continuous improvement & Innovation: Support the identification and implementation of opportunities to enhance model sophistication, including data integration and process improvements.  

Who are you: 

• Degree in numerically based discipline e.g., Maths, Data, Statistics, Engineering
• Data modelling techniques
• 1+ years in pricing or analytical roles, in the insurance sector.
• Strong understanding of risk modelling, underwriting principles, and expense allocation.
• Proven ability to deliver projects within tight timelines.
• Proficiency in data modelling techniques and pricing tools; familiarity with machine learning applications is a plus. 
• Strong problem-solving, stakeholder management, and communication skills.

Benefits: 

📍 This role will be based in our London office in a 50/50 Hybrid mode. 

💸 Generous Pension contribution scheme 

🏥 Private medical & Dental cover 

📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it) 

😁 Enhanced maternity & paternity  

🚉 Travel season ticket loan 

🎟️ Access to a wide selection of London O2 events and use of a Private Lounge 

🌈 Employee Wellbeing Programme 

What We Stand for and Next Steps “We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment”  

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support. 

We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements. 

Useful links:  

Glassdoor | Trust Pilot