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Job Details

Qube logo
Hedge Funds

Quantitative Researcher – QRT Academy

at Qube

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Join Qube Research & Technologies to lead and coordinate academic partnerships, PhD collaborations, and knowledge-exchange programmes that advance quantitative research. You will work with Research and Technology leads to identify emerging research areas, run project reviews, and position the firm as a trusted partner for both applied and theoretical collaborations. The role includes designing and delivering training in quantitative methods, programming, engineering practices, and applied research while mentoring and developing capability across the organisation.

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: 

  • Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
  • Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
  • Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
  • Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
  • Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

  • PhD in mathematics, statistics, machine learning, finance, computational finance.
  • Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
  • Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
  • Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
  • A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
  • Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

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 to achieve a healthy work-life balance. 

Job Details

Qube logo
Hedge Funds

17 days ago

clicks

Quantitative Researcher – QRT Academy

at Qube

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Not specified

Country: Not specified

Join Qube Research & Technologies to lead and coordinate academic partnerships, PhD collaborations, and knowledge-exchange programmes that advance quantitative research. You will work with Research and Technology leads to identify emerging research areas, run project reviews, and position the firm as a trusted partner for both applied and theoretical collaborations. The role includes designing and delivering training in quantitative methods, programming, engineering practices, and applied research while mentoring and developing capability across the organisation.

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: 

  • Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
  • Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
  • Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
  • Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
  • Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

  • PhD in mathematics, statistics, machine learning, finance, computational finance.
  • Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
  • Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
  • Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
  • A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
  • Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

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 to achieve a healthy work-life balance.