As a Research Developer, you will play a critical role in transforming quantitative models into scalable, high-performance trading applications. You’ll optimise research workflows, enhance back testing frameworks, and develop robust execution strategies that operate in real-time markets.
Key Responsibilities:
- Build and optimise back testing and simulation frameworks for evaluating trading strategies.
- Develop low-latency, high-performance software to execute and refine research-driven trading models.
- Work closely with quantitative researchers to translate ideas into production-ready code.
- Enhance data pipelines for ingesting, processing, and analysing vast amounts of financial data.
- Optimise and deploy machine learning and statistical models in a trading environment.
- Improve execution logic by refining order routing, risk management, and latency-sensitive components.
- Collaborate with infrastructure teams to ensure scalability and robustness of research systems.
You Need:
- 3+ years of experience in software development, with a focus on quantitative research or trading systems.
- Strong programming skills in Python, C++, or Java
- Experience with high-performance computing, parallel processing, and low-latency systems.
- Knowledge of financial markets, market microstructure, or algorithmic trading.
- Proficiency in working with large datasets, time-series analysis, and statistical modelling.
- Strong understanding of data structures, algorithms, and software optimisation.
Please reach out to hcannons@fourier.london to find out more.
Informatics Developer in London employer: Fourier Ltd
Join a leading UK financial institution that champions innovation and technical excellence, offering a unique opportunity to work alongside top-tier engineers in a collaborative environment. With a strong focus on employee growth, you will be part of a transformative technology modernisation programme, gaining exposure to cutting-edge projects while enjoying a culture that values quality and long-term impact. This role not only promises a technically challenging experience but also provides clear pathways for professional development within a supportive team.
