Ocean Red
Senior Quantitative Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Quantitative Analyst
Overview
🏢 Company | Financial Market Data & Analytics
👤 Position | Senior Quantitative Analyst
🎯 Impact | Market microstructure, Quantitative research, Client-facing product innovation
đź“Ź Size | Around 100 people
🌟 You’ll use | Python, Market Data, Quantitative Research
đź“Ť Location | London
đź’» Hybrid | 2 days a week in the office
đź’° Offer | Competitive salary + bonus
đź’Ž Benefits | Private medical, 25 days holiday, pension, overseas remote working, annual wellbeing budget, funded training, weekly team lunches and regular socials.
Your research shouldn’t end when the model works.
The interesting part starts when you ask why.
If you’ve spent the last few years working with exchange data, futures or options order books, you’ll know there’s a huge difference between producing a model and explaining what it’s means to traders, product teams and clients.
That’s exactly what you’ll do here.
You’ll join a specialist product group where your analysis doesn’t disappear into a research notebook. It influences product direction, helps customers solve real trading problems and gives commercial teams evidence they can actually use.
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.
You’ll get access to one of the largest market data environments in the industry, giving you the freedom to explore questions that simply aren’t possible with smaller datasets.
You’ll work directly with experienced product leaders, data scientists and commercial teams, giving you far more exposure than a traditional quant research position. If you enjoy presenting your work, discussing market structure with sophisticated clients and helping shape future products, you’ll have plenty of opportunities to do all three.
What you’ll be doing
You’ll split your time between quantitative research, product development and client interaction.
That means you’ll:
- Build research, analytics and prototypes using large-scale historical order book data.
- Work with product and commercial teams to demonstrate how quantitative insights solve real customer problems.
- Help shape future product development by turning client feedback into new ideas and analytical capabilities.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
This isn’t a pure research desk or a purely commercial position. It’s a blend of quantitative finance, data science and product strategy.
What you’ll need
We’re looking for three things above everything else:
- Around five years’ experience as a Quantitative Analyst using Python for statistical analysis and large datasets.
- Strong knowledge of futures and/or options order book data, together with broader exposure across financial markets.
- The ability to explain complex quantitative concepts clearly to both technical and commercial audiences.
Experience with SQL, cloud platforms or additional programming languages would be useful, but they aren’t essential.
📅 Interview Process | CV Review → Introductory Call → Technical Interviews → Final Interview → Offer
If you’d like to find out more, apply today for a confidential conversation. We’ll share the full brief, explain the business in detail and answer any questions before your profile is introduced.
NO SPONSORSHIP IS AVAILABLE FOR THIS OPPORTUNITY
“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