A highly technical proprietary trading firm is expanding a low latency quantitative research team focused on high frequency futures trading. The group operates at the intersection of quantitative modeling and extreme performance engineering, where nanoseconds matter and infrastructure decisions directly influence trading results.
The team works closely with quantitative researchers building automated strategies that operate at very high speeds in global futures markets. They are seeking a developer who thrives on deep systems challenges and wants ownership of performance from research prototype through to live production trading.
The environment is intensely engineering driven. Developers work alongside researchers, optimizing models and infrastructure so strategies execute with minimal latency, minimal jitter, and deterministic behaviour in fast moving markets.
The Role
- You will join a low latency research pod responsible for building and optimizing the core infrastructure behind high frequency futures strategies. The work spans algorithm implementation, market data systems, execution infrastructure, and performance tooling.
- The role requires thinking across the full stack, from mathematical models through to hardware level behaviour. You will profile, measure, and optimize systems where improvements in latency and determinism translate directly into trading performance.
Required Background
- Strong expertise in C++ and low level systems programming.
- Deep understanding of modern CPU architecture including cache hierarchies, pipelines, SIMD, and memory behaviour.
- Experience building or optimizing performance critical or real time systems.
- Ability to profile and reason rigorously about system performance under extreme constraints.
- Computer Science, Electrical Engineering, Mathematics, Physics or similar quantitative discipline.
Highly Valued Experience
- Experience in high frequency trading, electronic trading systems, or market making infrastructure.
- Experience with low latency networking and real time systems.
- Exposure to GPU computing or heterogeneous performance optimization.
- Experience collaborating closely with quantitative researchers or scientists.
- Track record of building production systems where performance was the primary constraint.
Pre-Application
- Please do not apply if you're looking for contract or remote work.
- You must be eligible to live and work in the US without requiring sponsorship.
- Please ensure you meet the required experience section prior to applying.
- Allow 1 to 5 working days for a response to any job enquiry.
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