Senior Quantitative Engineer, Systematic Cross Commodity

Salary: £36,000 - 76,000 per year

Requirements:

• Exceptional programming skills in both high-level and low-level languages such as Python and C++ or similar
• Strong theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems
• Familiarity with modern distributed computing platforms, including Docker, Kubernetes, Ceph, MongoDB, and Kafka
• Familiarity with quantitative research toolchains such as NumPy, Polars, Scikit-learn, and PyTorch
• Strong DevOps experience, including version control, testing frameworks, release processes, and build systems
• Excellent communication, problem-solving, and analytical skills
• Extremely strong computer science or engineering background with 5+ years of experience
• Experience designing and implementing distributed systems, real-time event-driven systems, and large-scale time series data ingestion, storage, and processing
• Experience with the architectural design of large-scale software systems
• Experience with systematic futures trading
• Exposure to CI/CD-style implementation and release methodologies with a large, complex codebase
• Masters or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or a related technical field
• Prior experience as a quantitative developer supporting a multi-asset systematic trading business
• Experience with a broad range of finance-relevant data sources, including tick data, fundamental data, and alternative data
• Functional understanding of foundational trading and risk management concepts

Responsibilities:

• Develop sophisticated research tooling to enable and accelerate alpha discovery
• Develop real-time event-driven systems for signal computation, trade decision-making, and execution
• Design, implement, and maintain the core systems and services that enable real-time data ingestion, retrieval, and distributed compute for both research and production
• Oversee the ongoing operation of all components within the systems landscape to ensure resilience and detect defects as they arise

Technologies:

• CI/CD
• Ceph
• DevOps
• Docker
• Kafka
• Kubernetes
• MongoDB
• PyTorch
• Python
• numpy

More:

We are a small, collaborative systematic trading team based in London. We are looking for a senior engineer to help implement and continue developing our core software and technical infrastructure. The role is highly technical and impactful, supporting alpha research, feature engineering, portfolio construction, and trade execution. We value deep engineering expertise, strong attention to detail, pragmatic and robust system design, and someone who thrives in a close-knit, start-up-style team. The role is based in London, with a target start date as soon as possible. The department is Trading.

last updated 34 week of 2026