Associate Pricing Analyst

Application Deadline: 20 August 2026

Department: [SBISL] Retail Pricing

Employment Type: Permanent - Full Time

Location: Bristol

Compensation: Up to £59,000 / year

Description

What you'll be responsible for:

• Prepare, cleanse and validate large datasets to support predictive modelling and retail pricing activities, ensuring data quality, accuracy and integrity.
• Analyse complex data to identify trends, risk factors and performance insights that influence motor insurance pricing decisions.
• Support the development, enhancement and optimisation of predictive pricing models, working closely with Senior Analysts to ensure robust and effective solutions.
• Assist with model testing, validation and performance monitoring, identifying opportunities for improvement and recommending enhancements where appropriate.
• Take ownership of allocated analytical and modelling workstreams, delivering high-quality outputs from planning through to implementation and ongoing monitoring.
• Build strong relationships with stakeholders across the business, providing clear and actionable insights to support commercial decision-making.
• Collaborate with underwriting, finance, product and pricing teams to develop and evolve retail pricing strategies and optimisation frameworks.
• Produce high-quality reports, analysis and documentation, presenting findings and recommendations to both technical and non-technical audiences.
• Keep up to date with industry developments, regulatory changes and advancements in analytics, data science and pricing methodologies, applying new knowledge to improve outcomes.
• Proactively identify, manage and mitigate risks within day-to-day activities and responsibilities.
• Act with integrity and ensure compliance with FCA regulations and internal governance requirements, always delivering fair customer outcomes.

What you'll need:

• Strong analytical and problem-solving skills, with the ability to interpret complex datasets and generate actionable insights.
• Experience using data analysis and statistical modelling tools such as Python, R, SAS or similar technologies.
• Good understanding of predictive modelling techniques and actuarial principles within a pricing or analytics environment.
• Experience working with large datasets, including data preparation, manipulation and analysis. Knowledge of SQL and Snowflake would be advantageous.
• Familiarity with pricing and modelling tools such as Radar and Emblem is desirable.
• Excellent communication skills, with the ability to translate complex technical concepts into clear, concise information for a range of stakeholders.
• Strong attention to detail, ensuring high levels of accuracy in analysis, modelling and reporting.
• Ability to produce clear, well-structured documentation and present findings confidently to both technical and non-technical audiences.
• Proven ability to build effective working relationships and collaborate across cross-functional teams.
• Strong organisational skills, with the ability to manage multiple priorities and deliver high-quality work to deadlines.
• Self-motivated and proactive, demonstrating initiative, sound judgement and the ability to work independently with minimal supervision.
• A continuous improvement mindset, with a commitment to keeping up to date with industry developments, emerging technologies and best practice in pricing and analytics.

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