Low-Latency Quant Researcher: Automated Futures Signals

Tudor; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Tudor’s Macro Pipeline team seeks a Quantitative Researcher to work in a low latency trading environment focused on liquid futures. You will research and implement automated signals and strategies with short to medium horizons, demanding rigorous statistical methods and efficient code paths.

Candidates typically have 3+ years of research experience, with MSc/PhD preferred in quantitative fields and strong Python/C++ skills. Salary ranges reflect location and experience.

Qualifications

• 3+ years of experience researching low latency futures signals and strategies.
• Advanced degree (MSc or PhD) from a top institution preferred.
• Strong preference for advanced degrees in Statistics, Machine Learning, Physics, Mathematics, or Engineering.

Responsibilities

• Research and implement fully automated systematic futures signals and strategies.
• Work on short to medium horizon trading models within a low-latency team.
• Handle large datasets including tick-level data with high accuracy.

Skills

Low latency research

Quantitative analysis

Python

C/C++

Statistics

Big data manipulation

Attention to detail

Entrepreneurial mindset

Education

MSc/PhD preferred

Quantitative discipline

Tools

Python

R

Julia

Job description

Tudor’s Macro Pipeline team seeks a Quantitative Researcher to work in a low latency trading environment focused on liquid futures. You will research and implement automated signals and strategies with short to medium horizons, demanding rigorous statistical methods and efficient code paths.

Candidates typically have 3+ years of research experience, with MSc/PhD preferred in quantitative fields and strong Python/C++ skills. Salary ranges reflect location and experience.