Senior Quant Researcher - Crypto in Slough

Senior Quant Researcher - Crypto in Slough

Slough Full-Time 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Conduct pure research to enhance high-frequency trading strategies in the crypto space.
  • Company: Top-tier crypto-native market maker with a founder-led, innovative culture.
  • Benefits: Competitive salary, fast deployment of your work, and real-time impact on strategies.
  • Other info: Join a high-talent team from elite backgrounds, focused on collaboration and innovation.
  • Why this job: Dive into exciting, unsolved problems in a fast-paced, evolving market.
  • Qualifications: Strong Python/C++ skills, statistical knowledge, and a passion for data-driven research.

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 Slough 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.

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Contact Detail:

Fionics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Quant Researcher - Crypto in Slough

Tip Number 1

Network like a pro! Reach out to folks in the crypto space, especially those who work at firms you admire. A casual chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your quant research projects, especially those involving Python or C++. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Stay updated on crypto trends and market movements. Being able to discuss current events and their implications during interviews shows you're genuinely interested and knowledgeable about the field.

Tip Number 4

Apply through our website! We’re always on the lookout for talent like yours. Don’t hesitate to submit your application directly; it’s the best way to get noticed by our hiring team.

We think you need these skills to ace Senior Quant Researcher - Crypto in Slough

Quantitative Research
Python
C++
Statistical Modelling
Feature Engineering
Optimisation
Data Analysis

Some tips for your application 🫡

Show Your Passion for Crypto:When 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-paced market.

Highlight Relevant Experience:Make sure to showcase any experience you have with quantitative research, especially in crypto or similar fields. We’re looking for those who can take ideas from hypothesis to production, so don’t hold back on your achievements!

Be Clear and Concise:While we appreciate creativity, clarity is key. Keep your application straightforward and to the point. Use bullet points if necessary to make it easy for us to see your qualifications at a glance.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!

How to prepare for a job interview at Fionics

Know Your Crypto Microstructure

Make sure you understand the current state of crypto microstructure and how it differs from traditional finance. Brush up on recent developments and be ready to discuss how these can impact trading strategies.

Showcase Your Quant Skills

Prepare to demonstrate your proficiency in Python and/or C++. Have examples ready that highlight your experience with statistical modelling and optimisation. Be ready to walk through your thought process on a past project or research paper.

Emphasise Your Research Mindset

This role is all about pure research, so be prepared to discuss your approach to hypothesis testing and how you handle noisy data. Share specific instances where your rigorous research led to actionable insights or improvements.

Be Ready for Real-Time Problem Solving

Since the company deploys strategies quickly, think of examples where you've had to adapt your research or models in a fast-paced environment. Show them you can think on your feet and deliver results under pressure.