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Medium Frequency Quantitative Researcher (Pipeline Team)

at Tudor Investment

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

Medium Frequency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 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 seeking a quantitative researcher to develop and implement automated systematic futures signals with intraday to daily horizons. The role focuses on researching scalable short- and medium-term alpha within liquid futures and maintaining systematic trading models. Strong quantitative background, experience manipulating large datasets, and excellent programming skills (Python and R) are required. Candidates typically have 2–4+ years of relevant research experience and an advanced quantitative degree is preferred.

Tudor’s Systems Trading Group seeks a Quantitative Alpha Researcher to work within a systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons.  Suitable candidates will generally have at least 2-4 years of comparable research experience.

Requirements

  • 3+ years of experience researching scalable short and medium-term alpha
  • 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
  • Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
  • High attention to detail
  • Creative thinker

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

Medium Frequency Quantitative Researcher (Pipeline Team)

at Tudor Investment

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

Medium Frequency Quantitative Researcher (Pipeline Team)

at Tudor Investment

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 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 seeking a quantitative researcher to develop and implement automated systematic futures signals with intraday to daily horizons. The role focuses on researching scalable short- and medium-term alpha within liquid futures and maintaining systematic trading models. Strong quantitative background, experience manipulating large datasets, and excellent programming skills (Python and R) are required. Candidates typically have 2–4+ years of relevant research experience and an advanced quantitative degree is preferred.

Tudor’s Systems Trading Group seeks a Quantitative Alpha Researcher to work within a systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons.  Suitable candidates will generally have at least 2-4 years of comparable research experience.

Requirements

  • 3+ years of experience researching scalable short and medium-term alpha
  • 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
  • Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
  • High attention to detail
  • Creative thinker

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