Senior Quantitative Analyst

Senior Quantitative Analyst

Overview

🏢 Company | Financial Market Data & Analytics

👤 Position | Senior Quantitative Analyst

🎯 Impact | Market microstructure, Quantitative research, Client-facing product innovation

📏 Size | Around 100 people

🌟 You’ll use | Python, Market Data, Quantitative Research

📍 Location | London

💻 Hybrid | 2 days a week in the office

💰 Offer | Competitive salary + bonus

💎 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.

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.

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***