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Job Details

Qube logo
Hedge Funds

Quantitative Researcher

at Qube

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

The Quantitative Researcher will create high-quality predictive signals by analysing large and diverse datasets and applying statistical, machine learning, and NLP techniques. You will lead the full research cycle from signal generation to implementation on the global execution platform and monitor model and signal performance over time. The role requires strong coding skills (Python, R, Matlab, C++, C#), an advanced quantitative degree, and proven experience delivering systematic strategies while collaborating with researchers, technologists and traders.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.


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 programing 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.


QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Job Details

Qube logo
Hedge Funds

17 days ago

clicks

Quantitative Researcher

at Qube

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Not specified

Country: Not specified

The Quantitative Researcher will create high-quality predictive signals by analysing large and diverse datasets and applying statistical, machine learning, and NLP techniques. You will lead the full research cycle from signal generation to implementation on the global execution platform and monitor model and signal performance over time. The role requires strong coding skills (Python, R, Matlab, C++, C#), an advanced quantitative degree, and proven experience delivering systematic strategies while collaborating with researchers, technologists and traders.

Full Job Description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.


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 programing 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.


QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.