Quantitative Researcher (Machine Learning) in City of London

Thurn Partners is looking for an Quantitative Researcher (Machine Learning) in City of London

Job description

Company: A leading quantitative hedge fund specialising in high-frequency strategies across global equities, futures, and options markets.

Location: London, United Kingdom.

Brief: The firm is a building a specialist, ML-driven HFT team covering equity and futures markets.

Responsibilities:

Design, build, and backtest machine learning models to generate alpha in low-latency settings.
Work closely with infrastructure and execution teams to integrate models into production.
Engage in data engineering and feature engineering: sourcing, cleaning, and transforming vast streams of market/alternative/microstructure/tick-level data.
Develop strategies that adapt to market microstructure dynamics (e.g. Order flow, market impact, latency arbitrage, predictive of short-term price movements).
Conduct rigorous risk assessments and monitor/maintain live performance.

Requirements:

Advanced degree (PhD/MSc) in a quantitative discipline: Mathematics, Physics, Statistics, Computer Science, or similar.
Strong background in machine learning, deep learning, and statistical modelling (e.g., gradient boosting, neural networks, reinforcement learning).
Proficiency in Python, C++, and high-performance computing environments.
Experience with financial time-series analysis, market microstructure, or electronic trading preferred.

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