Quantitative Developer, Research & ML Engineering

Salary: £36,000 - 76,000 per year

Requirements

• Masters or PhD/Post doctorate in Computer Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative discipline, from a leading institution
• 3+ years of professional experience in software engineering, quantitative development, or a related computational role
• Experience developing and validating machine learning models on large, complex datasets, across both classical and deep learning approaches, in industry or academia
• Experience building distributed computing systems for machine learning applications
• Strong Python programming skills beyond the standard research stack, including parallelism, distributed compute, and native acceleration such as Python or C++ bindings
• Familiarity with C++ is a strong plus, alongside the software engineering fundamentals to pick it up quickly
• Experience building data-intensive tools, research workflows, or model development infrastructure
• Strong Linux development experience
• Experience building agentic AI systems, including tool use, orchestration, and evaluation
• Experience with backtesting and awareness of common research pitfalls such as overfitting, lookahead bias, and survivorship bias
• Understanding of systematic trading strategies and quantitative research workflows
• Knowledge of market microstructure
• Experience supporting production research workflows or model deployment in a front-office environment

Responsibilities

• Design, train, and productionize large-scale machine learning models across both classical and deep learning approaches, applied to high-frequency data
• Enhance and optimize our end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validation
• Contribute to improving the speed, scalability, and reliability of our wider signal development environment, ensuring consistent and efficient migration from research to production
• Partner with broader technology teams to make effective use of shared internal platforms and services

Technologies

• Agentic AI
• AI
• Linux
• Machine Learning
• Python

We are a top-tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. We are hiring for a collaborative and entrepreneurial systematic macro pod based in London, where the role focuses on machine learning research engineering, high-frequency market data, and building the research and compute infrastructure behind our models. The position works closely with our Senior Portfolio Manager to turn models into live trading signals.