C++ Low Latency - Quantitative Developer

Thurn Partners Ltd; New York (NY); On-site; USD 150,000 - 300,000; Full time

Job summary

Thurn Partners Ltd in New York is seeking a Quantitative Developer for our high-frequency futures team. You will bridge research and engineering, turning ideas into live trading and deploying fast C++ code at scale.

You will collaborate with quant researchers to study how orders move prices, optimize memory and concurrency, and build tooling to test strategies quickly. A strong math/stat background and Python plus trading experience are preferred.

Qualifications

• expert C++, deep knowledge of memory, caches and concurrency, and strong maths and statistics.
• Python knowledge with trading or exchange experience is preferred. Strong systems engineers with a proven interest in markets will be considered.
• Curiosity about markets is essential.
• Most engineers in trading support the research. Here you are part of it, on a small team where your work is seen at the top.

Responsibilities

• You will report into senior research-engineering leadership. Your work goes straight from hypothesis to live trading.
• You will work with quant researchers to build and deploy high-frequency futures strategies, from idea to live trading.
• You will study how orders move prices, write fast production C++ and build the tools that let the team test ideas at scale.

Skills

C++ programming

Memory & concurrency

Mathematics & statistics

Python

Job description

A global trading firm is hiring a Quantitative Developer to join its high-frequency futures team as they expand their strategies to encompass newer machine learning techniques. The existing team is comprised of engineers from leading hardware and trading firms.

You will sit between research and engineering. You will work with quant researchers to build and deploy high-frequency futures strategies, from idea to live trading. You will study how orders move prices, write fast production C++ and build the tools that let the team test ideas at scale. Speed is the edge.

What You Will Do

• You will report into senior research-engineering leadership. Your work goes straight from hypothesis to live trading.
• You will work with quant researchers to build and deploy high-frequency futures strategies, from idea to live trading.
• You will study how orders move prices, write fast production C++ and build the tools that let the team test ideas at scale.

Skill Set

• You need expert C++, deep knowledge of memory, caches and concurrency, and strong maths and statistics.
• Python knowledge with trading or exchange experience is preferred. Strong systems engineers with a proven interest in markets will be considered.
• Curiosity about markets is essential. Candidates who see this as just another C++ job do not progress.
• Most engineers in trading support the research. Here you are part of it, on a small team where your work is seen at the top.

Pre-Application:

• This is a full-time, on-site role based in New York; 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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