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Senior Quant Researcher - Crypto
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Senior Quant Researcher - Crypto
Quant Researcher (Market Making & Algorithmic Trading) – Crypto
Crypto is the only major asset class left where the microstructure is still being figured out in real time.
We are a top-tier crypto-native market maker—one of the largest liquidity providers in digital assets across centralised exchanges (CEX), decentralised exchanges (DEX), and over-the-counter (OTC)—hiring an expert-level quant researcher to push their high-frequency trading (HFT) alpha stack forward.
This is a founder-led, founder-funded firm with no external capital dictating the roadmap. The culture is deeply game-theoretic, shaped by traders, quant olympiad veterans, and top-tier academics—high-talent, low-ego, and allergic to corporate politics.
Reasons to use Rodeo
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Why This Role Is Rare
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Pure research focus – No engineering, DevOps, or operational detours. Exclusive focus on:
- Feature design
- Model architecture
- Signal improvement
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Full alpha stack ownership – Work end-to-end from:
- Feature engineering
- Statistical modelling
- Optimiser tuning vs. siloed specialist roles that mathematically exist only in other quant firms.
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Real-time feedback – Deployments to live markets occur rapidly. Your work impacts profit and loss (PnL) the same week, not quarters later.
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Untapped market inefficiencies – Crypto’s microstructure is fast-moving and fragmented, resists traditional financial (TradFi) playbooks, and consistently presents off-the-beaten-path problems worth solving.
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Who They Are Hiring
A disciplined, empirically-driven researcher who thrives in noisy data environments and is unapologetically curious. Expect:
- Fluency in Python and C++.
- Breadth in statistics and optimisation.
- Ability to independently take hypotheses from concept to production.
- Exceptional self-starters with one of:
- Established PnL track records
- Olympiad-winning pedigrees
- World-class academia credentials
Experience band: 2–7 years is ideal, as this company prioritises skill slope over talent maturity.
If you want to do real research in markets that still pay for it—[get in touch](link removed).
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