Arthur Recruitment
Senior Pricing Analyst (Technical)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
I am working with a leading personal lines insurer seeking a Senior Pricing Analyst within their Home insurance team.
The successful candidate will be instrumental in developing and executing models and analyses that form the foundation of market pricing. This role requires a strong grasp of statistical modeling methods, along with expertise in advanced machine learning techniques.
Largely remote working with 1/2 days in the London office per month.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
Responsibilities:
- Contribute to the planning and execution of risk model updates, continuously improving data quality and processes.
- Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes.
- Engage with data from sourcing through to modeling and implementation in rating.
- Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Requirements:
- Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs)
- Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs)
- Demonstrated experience working with large datasets
- Proficient in Python, SQL, SAS, or similar programming languages
- Experience with Willis Towers Watson software, including Radar and Emblem
“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
Location