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Quantitative Researcher

at Qube

Back to all Data Science / AI / ML jobs
Qube logo
Industry not specified

Quantitative Researcher

at Qube

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Quantitative Researcher** leads full-cycle research, generating high-quality predictive signals from diverse datasets. Responsibilities include identifying statistical patterns, sharing findings, implementing signals, and monitoring model performance. Key skills required: advanced degree in quantitative field, proficiency in statistics, machine learning, and coding in Python, R, Matlab, or C++. Experience with large datasets and intellectual curiosity for problem-solving are pluses.

Your future role within QRT

  • Your core objective is to create high quality predictive signals.
  • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
  • Share and discuss research results, methodology, data sets and processes with other researchers.
  • Implement the signals and the relevant datasets within the global execution platform.
  • Monitor signal behaviour and model performance over time.
  • You would lead the full strategy research cycle from signal generation to implementation.

 

Your present skillset

  • 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 is a plus.
  • Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
  • Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Strong capacity to communicate with technologists, data scientists and traders across the globe.
  • Proven track record in delivering successful systematic strategies.

 

Quantitative Researcher

at Qube

Back to all Data Science / AI / ML jobs
Qube logo
Industry not specified

Quantitative Researcher

at Qube

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Quantitative Researcher** leads full-cycle research, generating high-quality predictive signals from diverse datasets. Responsibilities include identifying statistical patterns, sharing findings, implementing signals, and monitoring model performance. Key skills required: advanced degree in quantitative field, proficiency in statistics, machine learning, and coding in Python, R, Matlab, or C++. Experience with large datasets and intellectual curiosity for problem-solving are pluses.

Your future role within QRT

  • Your core objective is to create high quality predictive signals.
  • By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
  • Share and discuss research results, methodology, data sets and processes with other researchers.
  • Implement the signals and the relevant datasets within the global execution platform.
  • Monitor signal behaviour and model performance over time.
  • You would lead the full strategy research cycle from signal generation to implementation.

 

Your present skillset

  • 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 is a plus.
  • Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
  • Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Strong capacity to communicate with technologists, data scientists and traders across the globe.
  • Proven track record in delivering successful systematic strategies.

 

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