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Qube Research & Technologies

Quantitative Researcher/Trader

Qube Research & Technologies · Singapore/Hong Kong/Shanghai

Posted about 3 months ago

or apply directly on Qube Research & Technologies's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Qube Research & Technologies's roles stay open a median of 81 days
Reposted
No
Salary listed
No
8% of Qube Research & Technologies's roles list one
Ghost-job risk at Qube Research & Technologies
high
196 stale, 1 reposted of 202 open
Hiring momentum
252 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Qube Research & Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Qube Research & Technologies.

About this role

As a Quantitative Researcher/Trader at Qube Research & Technologies, you will focus on creating high-quality predictive signals by analyzing large datasets to identify statistical patterns. Your role involves sharing research findings with peers, implementing signals within the execution platform, and monitoring their performance over time. You will lead the entire strategy research cycle from generation to implementation in a collaborative environment.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qube Research & Technologies as an employer.

What you need

  • Direct experience as a quant researcher or trader, or in data science/machine learning
  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
  • Strong knowledge in statistics, machine learning, NLP or AI techniques
  • Coding skills in at least one leading programming language (Python, R, Matlab, C++, C#)
  • Capacity to multi-task in a fast-paced environment while maintaining attention to detail
  • Intellectual curiosity to explore new data sets and solve complex problems

Nice to have

  • Experience in exploring large datasets across multiple time frames

Worth weighing

  • No salary listed
  • Students and fresh graduates will be rejected; only experienced candidates are considered

Summarised from Qube Research & Technologies's posting. Read the full original.

Listed by Qube Research & Technologies on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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