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Low Latency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Back to all Data Science / AI / ML jobs
Tudor Investment logo
Hedge Funds

Low Latency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 20 hours ago

No clicks

Compensation
$150,000 – $250,000 USD

Currency: $ (USD)

City
New York City, London, Singapore
Country
United States, United Kingdom, Singapore

Tudor’s Systems Trading Group is hiring a Quantitative Researcher for a low-latency trading team focused on researching and building automated systematic futures signals and strategies with short- to medium-term horizons. The role involves working with large and tick-level datasets, developing statistical and optimization-based models, and implementing production-ready code in both high- and low-level languages. Candidates should have strong probability/statistics skills, excellent programming ability (e.g., Python and C/C++), and at least 3 years of relevant research experience. The team values attention to detail, creativity, and an entrepreneurial mindset with ownership of projects.

Tudor’s Systems Trading Group seeks a Quantitative Researcher to work within a low latency trading team that currently researches and builds low latency trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon.  Suitable candidates will generally have at least 3 years of comparable research experience.

Requirements

  • 3+ years of experience researching low latency futures signals and strategies
  • An advanced degree (MSc or PhD) from a top institution is preferred
  • Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
  • Excellent understanding of probabilities, statistics and optimization
  • Experience manipulating large datasets, including tick-level data
  • Excellent programing skills: experience with both high-level (e.g. Python, R, Julia) and lower-level languages (e.g. C, C++) with fluency in at least one.
  • High attention to detail
  • Creative thinker
  • Entrepreneurial spirit. Enjoys ownership of projects and takes responsibility for them

Compensation

  • Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

  • New York, NY, London, Singapore

Low Latency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Back to all Data Science / AI / ML jobs
Tudor Investment logo
Hedge Funds

Low Latency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 20 hours ago

No clicks

Compensation
$150,000 – $250,000 USD

Currency: $ (USD)

City
New York City, London, Singapore
Country
United States, United Kingdom, Singapore

Tudor’s Systems Trading Group is hiring a Quantitative Researcher for a low-latency trading team focused on researching and building automated systematic futures signals and strategies with short- to medium-term horizons. The role involves working with large and tick-level datasets, developing statistical and optimization-based models, and implementing production-ready code in both high- and low-level languages. Candidates should have strong probability/statistics skills, excellent programming ability (e.g., Python and C/C++), and at least 3 years of relevant research experience. The team values attention to detail, creativity, and an entrepreneurial mindset with ownership of projects.

Tudor’s Systems Trading Group seeks a Quantitative Researcher to work within a low latency trading team that currently researches and builds low latency trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon.  Suitable candidates will generally have at least 3 years of comparable research experience.

Requirements

  • 3+ years of experience researching low latency futures signals and strategies
  • An advanced degree (MSc or PhD) from a top institution is preferred
  • Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
  • Excellent understanding of probabilities, statistics and optimization
  • Experience manipulating large datasets, including tick-level data
  • Excellent programing skills: experience with both high-level (e.g. Python, R, Julia) and lower-level languages (e.g. C, C++) with fluency in at least one.
  • High attention to detail
  • Creative thinker
  • Entrepreneurial spirit. Enjoys ownership of projects and takes responsibility for them

Compensation

  • Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

  • New York, NY, London, Singapore