Pricing Analyst

Application Deadline: 18 August 2026

Department: [SBISL] Retail Pricing

Employment Type: Permanent - Full Time

Location: Bristol

Compensation: £40,000 - £50,000 / year

Description

What you'll be responsible for:

• Analyse historical data and trends to develop accurate pricing models and forecasts.
• Apply statistical and actuarial techniques to identify key risk factors influencing pricing decisions.

• Collaborate with Pricing Actuaries to design competitive pricing strategies aligned with the company's financial objectives.
• Utilise insights from market research and competitor analysis to refine pricing recommendations.

• Present findings, insights and recommendations to senior management and key stakeholders in a clear and impactful manner.
• Prepare and maintain detailed documentation of pricing models, methodologies and assumptions.

• Work closely with Underwriting, Marketing and Claims teams to incorporate diverse perspectives into pricing decisions.
• Liaise with IT teams to support the implementation of pricing tools and system enhancements.

• Ensure pricing models and practices comply with all relevant regulatory requirements and industry guidelines, including those issued by the Financial Conduct Authority (FCA).

• Contribute to the development, testing and enhancement of new pricing techniques and algorithms.
• Explore and leverage machine learning and advanced analytical tools to improve predictive performance and pricing accuracy.

• Monitor the performance and effectiveness of pricing models, recommending enhancements where appropriate.
• Stay up to date with industry developments, emerging risks and technological advancements to inform pricing decisions and best practice

What you'll need:

• Strong analytical and problem-solving skills with a high level of numerical proficiency.
• Knowledge of statistical software (e.g., R, Python, SAS) and data visualization tools (e.g., Power BI, Tableau).
• Familiarity with actuarial pricing techniques, including GLMs (Generalized Linear Models) and machine learning algorithms. 
• Proficiency in Radar or EMBlem.
• Ability to interpret large, complex datasets and derive actionable insights.
• Excellent communication and presentation skills to convey technical findings to non-technical stakeholders.
• Teamwork and collaboration skills, with an aptitude for working across departments.

Our Benefits

• Hybrid working – 2 days in the office and 3 days working from home
• 25 days annual leave, rising to 27 days over 2 years’ service and 30 days after 5 years’ service. Plus bank holidays!
• Discretionary annual bonus
• Pension scheme – 5% employee, 6% employer
• Flexible working – we will always consider applications for those who require less than the advertised hours
• Flexi-time
• Healthcare Cash Plan – claim cashback on a variety of everyday healthcare costs
• Electric vehicle – salary sacrifice scheme
• 100’s of exclusive retailer discounts
• Professional wellbeing, health & fitness app - Wrkit
• Enhanced parental leave, including time off for IVF appointments
• Religious bank holidays – if you don’t celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year.
• Life Assurance - 4 times your salary
• 25% Car Insurance Discount
• 20% Travel Insurance Discount
• Cycle to Work Scheme   
• Employee Referral Scheme
• Community support day