Quant Trader - Low-Latency Quantitative Trading (Futures)

Job Description

About the Job

A leading global quantitative trading firm is seeking a Quant Trader to join a low-latency quantitative research team focused on high-frequency futures trading. The team builds both the research frameworks and the production systems that drive trading decisions in highly competitive electronic markets.

This is a research-driven role. You will turn quantitative hypotheses into measurable trading outcomes, study market microstructure, develop computational methods for strategy development and evaluation, and build the infrastructure needed to test, validate, and deploy research at scale. Success means balancing mathematical rigor with practical implementation, delivering both algorithmic correctness and exceptional live performance.

Quant Traders on this team are not a downstream implementation function. You will shape how research is conducted, validated, and deployed, working closely with quantitative researchers, traders, and engineers across the full research-to-production lifecycle.

What You'll Do

• Partner with quantitative researchers to develop, implement, and evaluate new trading strategies and microstructure models
• Build research infrastructure that speeds up experimentation, simulation, backtesting, and deployment
• Translate mathematical models and research findings into highly optimized, production-grade trading systems
• Investigate market behavior using advanced computational, statistical, and numerical techniques to find new sources of edge
• Develop high-performance C++ systems for real-time decision-making under strict latency and throughput requirements
• Conduct performance research across software and hardware layers, including algorithms, memory, networking, CPU architecture, and heterogeneous computing
• Design measurement, profiling, and validation frameworks that ensure correctness, determinism, and operational robustness
• Continuously improve the speed, scalability, and effectiveness of the research ecosystem

What You Bring

• Strong mathematical, statistical, and quantitative foundation
• Expert-level C++ with a proven record of building high-performance software
• Deep understanding of systems programming, performance engineering, and modern computer architecture
• Experience optimizing software across multiple layers, from algorithms down to hardware
• A research-oriented approach to complex technical problems
• Ability to independently drive projects from concept through production

Pre-Application:

• This is a full-time, on-site role based in Miami; fully remote candidates will not be considered.
• Applicants must have the right to live and work in the US, or be eligible for sponsorship.
• Please ensure you meet the required experience prior to applying.
• Allow 1-5 working days for a response to any job enquiry.

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