Senior Pricing Analyst

Somerset Bridge; Bristol; On-site; GBP 63,000 - 75,000; Full time

Job summary

A leading insurance company in Bristol is seeking a Senior Pricing Analyst to join their Trading team. This role involves data analysis, developing pricing models, and conducting market research to maintain competitiveness and profitability. The ideal candidate will have a degree in a relevant field and programming experience in SAS, SQL, Python, or R, alongside strong analytical and communication skills. This position offers a competitive salary and excellent benefits, including flexible working options.

Benefits

25 days annual leave, rising to 30 days over service

Discretionary annual bonus

Pension scheme

Flexible working hours

Healthcare Cash Plan

Electric vehicle salary sacrifice scheme

Employee Referral Scheme

Qualifications

• Degree qualified in a relevant field, preferably mathematics or statistics.
• Experience in delivering pricing changes with measurable business value.
• Strong analytical mindset and excellent communication skills.

Responsibilities

• Collect, clean, and analyze large data sets from internal and external sources.
• Develop and refine pricing models using statistical techniques.
• Conduct research on market dynamics and competitor pricing strategies.

Skills

Data analysis

Statistical modeling

Programming in Python

Communication skills

Project management

Education

Degree in mathematics, statistics, data science, or actuarial science

PhD or Master’s in a relevant field

Tools

SAS

SQL

Python

R

Job description

Senior Pricing Analyst

Department: [SBL] Trading

Employment Type: Permanent - Full Time

Location: Bristol

Reporting To: Tom Helliwell

Compensation: Up to £75,000 / year

Description

We are recruiting for a Senior Pricing Analyst to join our Trading team. The Trading team’s main focus is on ensuring the profitability of our insurance products by maintaining the loss ratio via pricing overlays based on emerging trends, we are also responsible for making sure sales volume and average premium targets are being met by responding to changes in the market.

The successful candidate will have expert knowledge of the market and previous experience in developing and deploying pricing changes. Data science skills such as statistical machine learning applied using open-source programming such as Python or R are a benefit but not a necessity. You must be an excellent communicator and have a desire to work in a fast-paced environment.

What you’ll be responsible for:

Data Analysis and Pricing Model Development:

• Collect, clean, and analyse large data sets from internal and external sources.
• Assist in developing and refining pricing models using statistical and actuarial techniques.
• Monitor pricing model performance and recommend adjustments based on market trends and emerging risks.
• Lead innovation creating new factors/ideas for pricing.
• Take ownership of projects running across teams (technical and non-technical) ensuring delivery.
• Become a technical expert in various areas within the Trading team.

Market and Competitive Analysis:

• Conduct research to understand market dynamics, customer behaviour, and competitor pricing strategies.
• Provide insights to ensure the company remains competitive while maintaining profitability.

Collaboration and Stakeholder Engagement:

• Collaborate with underwriters, product managers, and claims department to ensure alignment between pricing strategies and product development.
• Communicate complex analytical findings and pricing strategies to non-technical stakeholders clearly and effectively.

Reporting and Compliance:

• Prepare detailed reports on pricing performance, profitability, and risk metrics for senior management and regulatory bodies.
• Ensure compliance with regulatory standards and internal governance policies.

Continuous Improvement:

• Identify opportunities to enhance pricing processes and implement innovative approaches.
• Stay updated on industry developments, new tools, and methodologies.
• Assist the development of junior colleagues through coaching and feedback.

What you’ll need:

• Degree qualified in a relevant field (preferably mathematics, statistics, data science, actuarial science, physics, economics, or a related field).
• PhD or master’s degree in a relevant field (preferably mathematics, statistics, data science, actuarial science, physics, economics, or a related field) would be an advantage.
• Actuarial or CII qualification would be an advantage.
• Programming experience in SAS, SQL, Python or R essential.
• A proven track record of delivering pricing changes with measurable business value.
• Extensive Knowledge of how an insurance product is priced from start to finish.
• Extensive knowledge of the motor insurance market.
• Experience with large (1m+ rows, 1k+ columns) data sets is essential.
• Managing projects alone and in teams.
• Commercial awareness and drive for practical outcomes.
• Question everything; search for innovative new solutions.
• Strong analytical mindset.
• Good communication skills; ability to present complex data insights clearly and persuasively to both technical and non-technical audiences (both in writing and verbal).

Our Benefits:

• 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