Senior Quant Researcher - Crypto

Fionics; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Fionics, a London-based crypto-native market maker, seeks a quant researcher to push the HFT alpha stack forward. The role is pure research with no devops detours—focus on feature design, model architecture and signal improvement.

From hypothesis to production without hand-holding, you’ll work across the full alpha stack and see your work deployed in live strategies within the same week. 2–7 years of experience preferred; strong Python and/or C++ skills and a solid stats mindset are essential.

Qualifications

• 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.
• 2–7 years is the sweet spot, but they hire for slope, not seniority.
• PnL track record, olympiad pedigree, or world-class academics — any of the three lands.

Responsibilities

• Full alpha stack: feature engineering through statistical modelling to optimiser tuning.
• Design features and models to improve signals and performance.
• Deploy work to live strategies with fast feedback into PnL.

Skills

Python

C++

Statistics

Optimization

Empirical research

Job description

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.