Senior Quant Researcher - Crypto

Fionics; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Fionics in London seeks a rigorous quant researcher to push the HFT alpha stack forward. You’ll focus on feature design, model architecture, and signal improvement, with no heavy plumbing or devops detours.

You’ll work end-to-end from hypothesis to production, with live deployment and PnL impact within the same week. Strong Python and/or C++, plus solid stats and optimisation, are essential for success.

Qualifications

• Empirically-minded researcher with strong data intuition.
• Proficient in Python and/or C++.
• Solid grounding in statistics and optimisation.

Responsibilities

• Design features, model architectures and improve signals.
• Take ideas from hypothesis to production with minimal hand-holding.
• Assist in live deployment and monitor impact on PnL.

Skills

Python

C++

Statistics

Optimization

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.