At a Glance
- Tasks: Drive innovative research in crypto markets, focusing on feature design and model architecture.
- Company: Top-tier crypto-native market maker with a founder-led, collaborative culture.
- Benefits: Competitive salary, fast deployment of your work, and real impact on live strategies.
- Other info: Join a high-talent team from elite firms, with excellent growth opportunities.
- Why this job: Engage in pure research with immediate feedback and tackle exciting, unsolved problems.
- Qualifications: Strong Python/C++ skills, statistical knowledge, and a passion for noisy data.
The predicted salary is between 60000 - 80000 € per year.
Crypto is the only major asset class left where the microstructure is still being figured out in real time. A top-tier crypto-native market maker — one of the largest liquidity providers in digital assets across CEX, DEX, and OTC — is hiring a quant researcher to push their HFT alpha stack forward.
Founder-led, founder-funded, no outside capital dictating the roadmap. Game-theoretic DNA in the research culture. A team pulled from elite trading firms, olympiads, and top research institutions — high-talent, low-ego, allergic to politics.
Why this seat is rare:
- Pure research. No plumbing, no devops detours. Feature design, model architecture, signal improvement — that’s the job.
- Full alpha stack. You’ll work from feature engineering through statistical modelling to optimiser tuning. Breadth that’s hard to find at firms where the stack has been carved into specialist silos.
- Real feedback loop. They deploy fast. Your work hits live strategies and shows up in PnL the same week — not the same quarter.
- Markets that still reward thinking. Crypto microstructure is fragmented, fast-moving, and full of inefficiencies the TradFi playbook doesn’t quite solve. The interesting problems are still on the table.
Who they’re looking for:
- A rigorous, empirically-minded researcher who loves noisy data and sharp questions.
- Strong in Python and/or C++, fluent in stats and optimisation, and able to take an idea from hypothesis to production without hand-holding.
- PnL track record, olympiad pedigree, or world-class academics — any of the three lands.
- 2–7 years is the sweet spot, but they hire for slope, not seniority.
If you want to do real research in markets that still pay for it — get in touch.
Senior Quant Researcher - Crypto in London employer: Fionics
As a leading crypto-native market maker, this company offers an exceptional work environment for Senior Quant Researchers, characterised by a culture of pure research and rapid deployment of ideas. With a team of elite professionals from top trading firms and research institutions, employees benefit from a collaborative atmosphere that prioritises innovation over politics, alongside opportunities for significant personal and professional growth in the fast-evolving crypto landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Researcher - Crypto in London
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto space, especially those who work at firms you admire. Use platforms like LinkedIn to connect and engage with them — a friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quant research projects or any relevant work you've done. This is your chance to demonstrate your Python or C++ prowess and your ability to tackle real-world problems — make it shine!
✨Tip Number 3
Stay updated on crypto trends! Follow industry news, join forums, and participate in discussions. Being well-informed not only helps in interviews but also shows your genuine interest in the field — it’s a great conversation starter!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative to apply directly. It shows you're serious about joining our team and ready to dive into the exciting world of crypto research with us.
We think you need these skills to ace Senior Quant Researcher - Crypto in London
Some tips for your application 🫡
Show Your Passion for Crypto:When you're writing your application, let your enthusiasm for the crypto space shine through. We want to see that you’re not just knowledgeable but genuinely excited about the challenges and opportunities in this fast-moving market.
Highlight Your Research Skills:Make sure to emphasise your experience with empirical research and data analysis. We’re looking for someone who can tackle noisy data and sharp questions, so share examples of how you've done this in the past!
Be Clear About Your Technical Skills:Since we value strong programming skills, especially in Python and/or C++, be specific about your proficiency. Mention any relevant projects or experiences that showcase your ability to take ideas from hypothesis to production.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Fionics
✨Know Your Crypto Microstructure
Make sure you understand the unique aspects of crypto microstructure. Brush up on how it differs from traditional finance and be ready to discuss specific inefficiencies you've identified in the market. This shows you're not just familiar with the space, but that you're actively thinking about its complexities.
✨Showcase Your Research Skills
Prepare to discuss your previous research projects in detail. Highlight your experience with feature engineering, statistical modelling, and optimisation. Be ready to explain how you took an idea from hypothesis to production, as this aligns perfectly with what they're looking for.
✨Demonstrate Your Technical Proficiency
Since strong skills in Python and/or C++ are essential, be prepared to talk about your coding experience. You might even want to bring examples of your work or be ready for a technical challenge during the interview. This will help you stand out as a candidate who can hit the ground running.
✨Emphasise Your Empirical Mindset
They’re looking for someone who loves noisy data and sharp questions. Prepare to discuss how you've approached complex problems in the past and the methodologies you used to derive insights. This will demonstrate your rigorous, empirically-minded approach to research.
