Graduate Quantitative Researcher | High-Frequency Trading | London
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My client is building one of the most technically sophisticated digital-asset trading operations in Europe. I am scaling the High‑Frequency Trading (HFT) team. This group designs real‑time predictive signals, multi‑venue execution logic, and simulation frameworks that compete directly in some of the world’s fastest electronic markets.
Position Overview
As a Quant Researcher you’ll work on live strategy components, build features that matter, and own chunks of the research pipeline end‑to‑end. You will work with billions of market data points to uncover microstructure patterns few people ever get to see, build and backtest short‑term predictive features for real HFT strategies, and prototype models that move from Jupyter to research environment to production faster than anywhere else.
The team is currently composed of world‑class engineers who turn research into hardened, battle‑tested trading systems. See your work make it into live strategies and contribute to real PnL — within your first quarter. This is a role for someone who wants impact, ownership, and progression.
About You
- Masters Degree in Mathematics.
- Internships in quant research, ML, or data‑heavy problem solving.
- Strong stats / probability / optimisation instincts.
- Production‑quality Python coding skills.
- Curiosity, intensity, and an ownership mindset.
- Nice‑to‑haves: C++/Rust, HFT data, competition rankings, OSS work.
Why my client?
- High‑calibre, international team.
- Regular offsites and team events.
- Fast‑growing business with deep technical ambition.
If your profile is a good fit, I will reach out to you within 12 hours from application.
- Seniority level: Entry level
- Employment type: Full‑time
- Job function: Finance
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Contact Detail:
Stanford Black Limited Recruiting Team