Ageas
Senior Technical Pricing Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Technical Pricing Analyst
Senior Technical Pricing Analyst – Ageas
Target Start Date: ASAP Contract Type: Permanent, Part-Time, Full-Time, Job Share option available Salary Range: Up to £52,800 Location: Any Ageas UK office (hybrid), including offices in London, Eastleigh, and Bournemouth Closing Date for applications: Thursday 16th July
About the Role
An exciting opportunity has arisen within Ageas’s Underwriting department, specifically in the Broker Technical Pricing team. This multidisciplinary team is responsible for developing sophisticated statistical risk models to underpinAgeas’s Broker insurance products, including Private Car, Van, Bike, and Household.
While office locations are available in London, Eastleigh, and Bournemouth, the role is fully flexible, accommodating remote work for candidates to support work-life balance.
As a Senior Technical Pricing Analyst, you will:
- Drive strategic change by leveraging new technologies and cutting-edge data science techniques to deliver inorganic growth.
- Support projects by preparing data, conducting actuarial modelling, reviewing results, and deploying high-impact pricing solutions that enhance Ageas’s competitive edge.
- Focus on research and development, contributing to data-driven improvements in model sophistication and operational efficiency.
This role is ideal for an autonomous problem-solver with a proven ability to manage complex projects from conceptualisation to deployment. To further support your career, Ageas will provide a generous study package as you work towards Actuarial qualification.
Main Responsibilities
- Develop complex, robust actuarial models and interpret results to inform innovative pricing strategies.
- Support statistical & actuarial analysis for ad-hoc business problem-solving, collaborating with internal stakeholders.
- Compile reports, documentation, and presentations to effectively communicate insights to senior leadership.
- Identify opportunities to challenge existing methodologies, introducing new analytical techniques for process enhancement.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Requirements
- Mathematics and numerate A-levels with A grades*.
- Degree (2:1 minimum) in a numerate discipline—e.g., Mathematics, Statistics, Engineering, or Physics.
- PhD or research-based Master’s degree is a strong advantage.
- Proven analytical expertise, including data manipulation, investigation, and lateral problem-solving.
- Ability to think critically beyond initial assumptions.
Desirable Skills & Experience
- Industry experience in actuarial pricing, statistical modelling, or regulated multi-divisional operations.
- Machine learning proficiency (e.g., GBMs, Elastic Net Regression, Random Forests) in Python/R.
- Familiarity with industry-specific software such as Emblem.
- Experience collaborating with teams—articulating complex concepts for knowledge-sharing & decision-making.
About Ageas
Ageas is one of the UK’s largest providers of car and home insurance, serving over four million customers. We are recognised as a Top Employer in the UK and strive to create an environment of innovation, creativity, and collaboration across our business.
Biodiversity & Commitment to Inclusion
As an inclusive employer, Ageas supports diversity and offers fair access to recruitment adjustments for all candidates. We are committed to:
- Promoting relatable role models under the Race at Work Charter and Women in Finance Charter.
- Partnering with charities such as iCAN and GAIN to enhance diversity initiatives.
- Operating as a Disability Confident Leader, ensuring accommodations beyond standard guidelines.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Action for fair access: If the described adjustments do not meet your needs, please contact the Recruitment Team ahead of competing your application.
Zero Tolerance for Harassment
Ageas maintains a strict anti-harassment policy during recruitment, ensuring every candidate receives professional and respectful communication.
Benefits Package
Work & Time Flexibility
- Smart Working – Office flexibility (conducted in the UK) and daily work-hour adjustments.
- Part-time & job-share options available for all roles.
- 35+ holiday days (including bank holidays), with paid overtime.
Health & Well-being Support
- Dental insurance, health cash plans, and wellness programmes (including mindfulness & mental health first-aid team members).
- Will-writing services and critical illness support.
Financial Well-being
- 50% discount on Ageas products (e.g., esure and Sheilas’ Wheels insurance).
- Annual salary reviews, competitive pension, and employer loans.
- Employee savings schemes and bonus structures.
Personal & Family Support
- 16-week full-pay maternity leave for parents, 8 weeks for adopters/secondary parents.
- Maternity handlers assisting reintegration post-leave.
- Partner life assurance and critical illness coverage.
Tech & Lifestyle Enrichment
- Easyrig access to gadgets, including wearables, tablets, and laptops.
- Car salary exchange and subscription-based travel benefits.
Join Our Winning Team
Who provides excellent service to over four million customers? We do.
The prospects for innovation and growth are unmatched at Ageas. Our hybrid culture ensures flexibility, while our diverse talent teams drive exceptional opportunities for advancement.
Want to be part of something great? Apply now at [individual office webpage].
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills