ML Researcher for Quant Trading — Collaborative Growth

Oxford Knight; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Oxford Knight is expanding its Machine Learning and AI capabilities within a world‑class quantitative market‑making environment in London. You will use ML to extract signals from vast market data, build and test models and develop new trading strategies across cross‑asset teams.

The role blends quantitative research, trading and software engineering, with freedom to experiment and to attend leading academic conferences.

Qualifications

• Deep Machine Learning expertise from either an applied or academic environment.
• Strong programming and quantitative problem-solving skills.
• Experience analysing large datasets and building/testing ML models.
• Broad understanding of modern ML techniques and model architectures.
• Ability to balance cutting‑edge research with pragmatic, commercially useful solutions.
• Collaborative nature with excellent communication skills.

Responsibilities

• Use Machine Learning to extract signals and insights from vast datasets of market data.
• Analyse data, build and test models and develop new trading strategies.
• Split time between alpha generation within a trading team and broader ML research across the firm.
• Collaborate with research, trading and software engineering teams to maximize PnL and apply ML to real-world problems.
• Experiment with model architectures, feature transformations and hyperparameters while justifying choices.

Job description

Oxford Knight is expanding its Machine Learning and AI capabilities within a world‑class quantitative market‑making environment in London. You will use ML to extract signals from vast market data, build and test models and develop new trading strategies across cross‑asset teams.

The role blends quantitative research, trading and software engineering, with freedom to experiment and to attend leading academic conferences.