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Tudor Group

Medium Frequency Quantitative Researcher

  • Seen live on Tudor Group's site yesterday
  • Mid level
Pay
$150k to $250k a year USD
Location
New York City, London, Singapore
Open for
12+ days
First seen
Oct 23, 2026
Apply on Tudor Group's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Tudor Group's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Tudor Group, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What it asks of you

3+ years of experience
“3+ years of experience researching scalable short and medium-term alpha” (quoted from the posting)

What the posting discloses

Pay
$150k to $250k a year USD
Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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

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