Quantitative Researcher (HFT Futures)

Thurn Partners; Greater London; On-site; GBP 120,000 - 210,000; Full time

Job summary

A leading proprietary trading firm is seeking a skilled C++ Algorithm Developer/Quantitative Researcher in London. This role involves researching and developing quantitative trading strategies, designing low-latency C++ infrastructure, and applying machine learning techniques to market data. Candidates should have a strong academic background in a quantitative field and proficiency in C++. This position offers a unique opportunity to work on latency-sensitive projects within a dynamic trading environment.

Qualifications

• Professional experience in quantitative research, algorithmic trading, or low-latency systems development.
• Strong academic background in Mathematics, Physics, Computer Science, Engineering, or Statistics.
• Excellent skills in C++ with understanding of performance optimisation and multithreading.
• Experience in machine learning techniques applied to time-series data.

Responsibilities

• Research and develop quantitative trading strategies for high-frequency futures.
• Design and implement low-latency C++ trading infrastructure focused on performance.
• Apply statistical techniques to model market dynamics and short-horizon signals.

Skills

C++ proficiency

Quantitative research

Machine learning techniques

Performance optimisation

Multithreading

Machine learning on time-series

Education

PhD or further education in a quantitative discipline

Strong quantitative academic background

Job description

Company: A leading proprietary trading firm specialising in high-frequency and systematic trading across global futures markets.

Location: London, United Kingdom.

Brief: A top-performing HFT trading team is seeking a C++ Algorithm Developer/Quantitative Researcher to work on latency-sensitive trading strategies across liquid futures markets. The role sits at the intersection of quantitative research, machine learning, and high-performance systems engineering.

Responsibilities:

• Research, develop, and optimise quantitative trading strategies for high-frequency futures trading.
• Design and implement low-latency C++ trading and research infrastructure, with a focus on performance, robustness, and scalability.
• Apply statistical and machine learning techniques to model market microstructure, price dynamics, and short-horizon signals.

Requirements:

• Professional experience in quantitative research, algorithmic trading, or low-latency systems development.
• Strong academic background with further education in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics. PhD is preferred.
• Excellent C++ skills with a strong understanding of performance optimisation, memory management, and multithreading.
• Demonstrated experience in machine learning techniques applied to time-series or microstructure data (e.g. linear models, tree-based methods, neural networks, regularisation).