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Tudor Group

Medium Frequency Quantitative Researcher

New York City, London, Singapore; London; New York City; SingaporeSingapore
Macro Pipeline
POSTED 11 JUN 2025
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Role
516 days opentrue age
Posted 11 Jun 2025
Payin text
from $150kposted
▲ +25% vs market median $120k
$75k$175k
Market p25–p75
$75k–$175k
New York · n=2353 · 365d to 6 Nov
CompanyTudor Group →
5open roles
Opened · 30d
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Closed · 30d
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416,852open · Other
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All tracked boards · live 10 Nov · n=416,852
Python

Tudor’s Macro Pipeline team 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
Source · Tudor GroupFirst seen 7 NovOriginal ↗