I’m working with a leading global proprietary trading firm that is seeking an experienced Software Engineer to join its systematic trading team.
This is a hands-on engineering role supporting fully systematic, multi-asset trading strategies across global markets. You will work closely with software engineers, quantitative researchers and traders, with broad ownership across the research-to-production lifecycle.
The role will involve building and enhancing trading systems, market data connectivity, execution algorithms and research infrastructure, primarily using Python and C++. You will also contribute to signal computation, portfolio optimisation, post-trade analysis and monitoring tools, working within highly available distributed systems with demanding latency requirements.
Responsibilities:
- Design, develop and maintain software supporting research, trading and post-trade workflows.
- Build systems for market data processing, signal computation, portfolio optimisation and execution management.
- Develop and improve trading infrastructure, monitoring and observability tooling.
- Test and document software to ensure reliability, maintainability and performance.
- Collaborate closely with quantitative researchers, traders and fellow engineers.
- Take ownership of projects from initial requirements through to delivery, with on-call support as required.
Requirements:
- 5+ years of professional software engineering experience using Python or C++.
- Proven experience building complex, business-critical software that is reliable and maintainable.
- Experience developing highly available distributed systems with tight latency constraints.
- Understanding of computer networking and the trade-offs involved in system design.
- Knowledge of type systems, fundamental statistics and numerical methods.
- Previous experience developing software within a trading environment.
- Strong communication skills, initiative and a desire to continuously learn.
- Experience working with quantitative researchers is advantageous.
- Familiarity with machine learning concepts, functional programming, Cython or integrating Python and C++ is a plus.
My client offers an attractive compensation package alongside excellent benefits, with the opportunity to join a highly technical trading environment where engineers have significant autonomy, work directly with quantitative researchers and contribute to sophisticated systematic strategies.
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