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Quantitative Researcher – High-Frequency Futures (HFT) Strategies

Durlston Partners • United Kingdom
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Join a small, high-impact team at a leading global proprietary trading firm to research and build fully automated high-frequency trading strategies on major futures exchanges including CME, Eurex, ICE and SGX. You will own the full lifecycle of strategies - alpha research from tick-level and order book data, model building, backtesting, execution optimization, and live deployment - working closely with traders and engineers. Candidates need 2+ years of HFT/market-making quant research experience, an advanced quantitative degree, strong Python and C++, and expertise in statistics, machine learning, and futures market microstructure.

Key Highlights
Join a small, high-impact team at a leading global proprietary trading firm, trading only its own capital with no outside investors.
Own ideas end-to-end: from alpha research on tick-level and full-depth order book data to live trading and PnL.
Requires 2+ years of quant research at an HFT or market-making firm, ideally in futures, with a proven track record of live PnL.
Market-leading base salary plus significant discretionary or PnL-linked bonus, direct strategy ownership, and best-in-class infrastructure.
Key Responsibilities
Research and develop short-horizon alpha signals from tick-level market data and full-depth order book data.
Build, backtest and validate HFT strategies with rigorous statistics, accounting for latency, queue position, fees and market impact.
Model market microstructure: order flow, liquidity, price formation and cross-asset or cross-venue relationships.
Optimise execution, fill probability and risk management for live strategies.
Monitor live performance, diagnose PnL drivers and keep improving strategies as market conditions change.
Work with software engineers on research infrastructure, simulators and low-latency production code.
Technical Skills Required
Python C++ Machine Learning
Benefits & Perks
Market-leading base salary plus significant discretionary or PnL-linked bonus
Direct ownership of strategies with clear visibility of impact on PnL
Best-in-class infrastructure, data and computing resources
Collaborative, non-hierarchical environment
Relocation support
Visa sponsorship
Health cover
Meals
Nice to Have
Experience across several futures asset classes (rates, equity indices, commodities, FX).
Experience with kdb+/q or similar time-series databases.
Knowledge of FPGA or ultra-low-latency trading systems.

Job Description

Quant Researcher, HFT Futures

Firm: Leading global proprietary trading firm

About the firm

Our client is a highly successful proprietary trading firm. It trades only its own capital, with no clients and no outside investors. It’s a leader in high-frequency and low-latency trading across global futures markets. The culture is collaborative and driven by technology, with small, flat teams where researchers own their ideas from first hypothesis through to live trading and PnL.

The role

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