The Quantitative Developer will create critical trading infrastructure focusing on low latency systems, utilizing programming languages like Rust, Java, and Python while ensuring best practices in coding and testing.
MAIN DUTIES/RESPONSIBILITIES OF THE ROLE:
Functional Responsibilities:
- Work in a small engineering team building critical trading infrastructure and components to support low latency market data, direct exchange connectivity, treasury, risk and data analytics
Essential Capabilities:
- A bachelor’s or advanced degree in Computer Science is required.
- At least 3 years professional experience of coding in Rust, Java or C++
- Clear understanding of CS concept such as memory allocation, threads, async function.
- 1+ year experience of coding in Python.
- Attention to detail, strong focus on best practices, testing and monitoring, experience using source control software, code review and release process.
- Experience with Svelte or JavaScript is a plus
- Data analyst skill is a plus.
- Experience building live low-latency trading systems or performance-sensitive software is preferred but not required
WORK EXPERIENCE/BACKGROUND:
Essential
- A bachelor’s or advanced degree in Computer Science is required.
- At least 3 years professional experience of coding in Rust, Java or C++
- 1+ year experience of coding in Python.
- Strong focus on best practices, testing and monitoring
- Experience using source control software.
Desirable
- Experience building live low-latency trading systems or performance-sensitive software is preferred but not required
- Experience with Svelte or JavaScript is a plus.
- Data analyst skill is a plus.
- Experience with cloud native services in GCP is a plus
- Experience with blockchain protocols, infrastructure and nodes is a plus.
Top Skills
Blockchain Protocols
C++
Cloud Native Services
GCP
Java
JavaScript
Python
Rust
Svelte
Brevan Howard London, England Office
London, United Kingdom
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