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Quantitative Researcher

at Qube

Back to all Data Science / AI / ML jobs
Qube logo
Hedge Funds

Quantitative Researcher

at Qube

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

You will design and develop high-quality predictive signals by analysing large and diverse datasets and identifying statistical patterns and opportunities. The role involves end-to-end research from signal generation through implementation on the global execution platform and ongoing monitoring of model performance. You will collaborate closely with researchers, technologists, data scientists and traders across the firm to share methodology and drive systematic strategies. Strong coding skills and an advanced quantitative degree are required.

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 our 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.

Quantitative Researcher

at Qube

Back to all Data Science / AI / ML jobs
Qube logo
Hedge Funds

Quantitative Researcher

at Qube

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

You will design and develop high-quality predictive signals by analysing large and diverse datasets and identifying statistical patterns and opportunities. The role involves end-to-end research from signal generation through implementation on the global execution platform and ongoing monitoring of model performance. You will collaborate closely with researchers, technologists, data scientists and traders across the firm to share methodology and drive systematic strategies. Strong coding skills and an advanced quantitative degree are required.

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 our 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.