At a Glance
- Tasks: Develop and test trading strategies using data analysis and statistical modelling.
- Company: Join a cutting-edge proprietary trading firm in London focused on digital assets.
- Benefits: Competitive pay, career progression, and a collaborative work environment.
- Other info: Work in small teams where your ideas can evolve and thrive.
- Why this job: Make a real impact by turning complex data into actionable trading strategies.
- Qualifications: Strong problem-solving skills and a background in Maths, Physics, or Computer Science.
The predicted salary is between 45000 - 55000 £ per year.
Westren Capital is a London-based proprietary trading firm specialising in digital asset markets. We develop systematic trading strategies grounded in market microstructure across global venues. We hire from Mathematics, Physics, Computer Science and related fields, not for credentials, but for the ability to reason clearly under uncertainty and build things that work in production. Our work sits at the intersection of statistical modelling, market microstructure, and engineering. The aim is straightforward, if not easy: extract durable signals from noisy data and convert them into scalable, risk-aware strategies. That requires intellectual honesty, a tolerance for ambiguity, and a willingness to discard ideas that do not survive contact with reality. We operate in small, highly collaborative teams where research, engineering, and trading are tightly coupled. Outcomes matter. Not narratives, not backtests that look good in isolation, but strategies that hold up live. Compensation and progression reflect that directly. Beyond trading, we invest in building internal tools, data infrastructure, and research workflows that compound over time. The edge is rarely a single idea; it is the system that produces and evolves ideas faster than others.
Responsibilities
- Develop and test alpha signals across liquid markets, with a focus on robustness rather than backtest aesthetics.
- Work with large, messy datasets and turn them into something usable without fooling yourself in the process.
- Build research pipelines that are fast, reproducible, and resistant to the usual traps (lookahead, leakage, overfitting).
- Collaborate with engineers to move ideas into production without breaking them in the process.
- Study market microstructure and execution behaviour, not as theory but as something that directly impacts returns.
- Monitor live strategies and investigate performance drift, which happens more often than people admit.
Requirements
- Strong problem-solving ability and independent thinking; comfort working in areas where the answer is not obvious and often wrong the first few times.
- Experience developing quantitative trading strategies is valued, but not required; evidence of rigorous, applied research matters more.
- Solid grounding in statistical modelling and forecasting techniques; familiarity with machine learning methods such as regression, tree-based models, or neural networks.
- Degree (Bachelor’s, Master’s, or PhD) in Mathematics, Statistics, Physics, Computer Science, or a related field.
- Strong programming skills in Python; experience with C++ and working in a Linux environment is a plus.
- Ability to work in a collaborative, high-performance environment where feedback is direct and iteration cycles are fast.
Quantitative Researcher - Trading Team in London employer: Westren Capital Ltd.
Westren Capital Ltd. is an attractive employer due to its focus on collaboration and innovation in the digital asset space. The company fosters a culture of continuous learning and provides opportunities for employees to work with cutting-edge technology and data analysis. Team members benefit from a supportive environment that values intellectual honesty and practical outcomes.
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We think you need these skills to ace Quantitative Researcher - Trading Team in London
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