Junior Quantitative Researcher

Albert Bow; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A quantitative research firm in London is seeking a Junior Quantitative Researcher to analyse market data and build models. You'll work closely with senior researchers and engineers in a high-frequency trading environment. The ideal candidate holds a degree in a quantitative field and has 1-3 years of experience in quantitative research or data science. Strong statistical skills and familiarity with programming languages such as C++ or Rust are advantageous. Competitive compensation starts at £100K+ plus bonuses.

Qualifications

• 1-3 years of relevant experience; quantitative research, applied machine learning, or data science.
• Strong quantitative and statistical skills; ability to identify, test, and refine signals.

Responsibilities

• Analyse market data and build models for short-term strategies.
• Work with high-frequency datasets to identify microstructure patterns.
• Develop research pipelines to improve strategy testing efficiency.

Skills

Quantitative research

Statistical analysis

Machine learning

Education

Degree in a quantitative field

Tools

C++

Rust

Job description

Overview

Junior Quantitative Researcher | HFT Trading Team | London | £100K+ (+ Bonus structure)

Team

Location: London, UK (on-site)

The High-Frequency Trading (HFT) team focuses on quantitative, model-driven strategies. The group develops short-term signals, simulations, and strategies designed to compete in highly competitive electronic markets.

Role

As a Junior Quantitative Researcher in the HFT team, you will take responsibility for analysing market data, building models, and prototyping strategies. You’ll work closely with senior researchers and engineers to scale your research into production and will gradually take ownership of live strategies, with the potential to manage your own trading book.

Key Responsibilities

• Work with large-scale, high-frequency datasets to identify market microstructure patterns.
• Design and backtest short-term predictive signals.
• Develop research pipelines and tools to improve the efficiency and reliability of strategy testing.
• Iteratively improve models through experimentation, analysis, and feedback from deployment.

Requirements

• Degree in a quantitative field; Engineering, Physics, Applied Mathematics, Computer Science, or related.
• 1–3 years of relevant experience; Quantitative research, applied machine learning, or data science (finance experience a plus).
• Strong quantitative and statistical skills; Ability to identify, test, and refine signals and design predictive models.

Nice to Have

• Experience with C++ or Rust.
• Background in high-frequency or tick-level market data.
• Open-source contributions, Kaggle/competition track record, or published research.

If you’re ready to take on challenging quantitative research and grow your skills in a high-impact trading environment, apply now.