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Trading Support Analyst

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Trading Support Analyst

at Qube

GraduateNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join a cross-functional trading support team to analyse and report PnL and positions, manage corporate actions, resolve booking issues, perform NAV gap analyses, and produce daily dashboards and reports. The role involves modelling performance drivers at the strategy level, conducting ad-hoc investigations and deep dives, and maintaining/enhancing internal reporting tools. You'll work closely with traders, quantitative researchers, operations, risk and IT, gaining exposure to low-latency trading systems and large-scale data technologies.

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:

You will join a cross-functional team that supports the business across a wide range of activities, including:

  • Providing trading support: analysing and reporting PnL and positions, managing corporate actions, resolving booking issues
  • Modelling and analysing performance drivers at the strategy level
  • Producing daily dashboards and reports for management
  • Performing NAV system gap analyses
  • Conducting ad-hoc investigations and deep-dives
  • Maintaining and enhancing internal reporting tools
  • Working closely with traders, quantitative researchers, operations, risk teams, and IT

 

Your present skillset:

  • An advanced degree in business or engineering, ideally with a focus on finance
  • Relevant experience is appreciated but not mandatory
  • Strong programming skills in at least one language (VBA, Python, or SQL)
  • Advanced proficiency with Microsoft Office
  • Ability to adapt, prioritise, and stay detail-oriented in a fast-moving environment
  • Solid analytical and organisational skills
  • Clear written and verbal communication
  • A collaborative mindset

 

Your enhanced experience and learning opportunities at QRT:

  • Mentorship from experienced industry professionals
  • Hands-on exposure to low-latency trading systems (software and hardware)
  • Experience working with large-scale data technologies
  • Insight into a highly collaborative and supportive environment

 

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.

Trading Support Analyst

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Trading Support Analyst

at Qube

GraduateNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join a cross-functional trading support team to analyse and report PnL and positions, manage corporate actions, resolve booking issues, perform NAV gap analyses, and produce daily dashboards and reports. The role involves modelling performance drivers at the strategy level, conducting ad-hoc investigations and deep dives, and maintaining/enhancing internal reporting tools. You'll work closely with traders, quantitative researchers, operations, risk and IT, gaining exposure to low-latency trading systems and large-scale data technologies.

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:

You will join a cross-functional team that supports the business across a wide range of activities, including:

  • Providing trading support: analysing and reporting PnL and positions, managing corporate actions, resolving booking issues
  • Modelling and analysing performance drivers at the strategy level
  • Producing daily dashboards and reports for management
  • Performing NAV system gap analyses
  • Conducting ad-hoc investigations and deep-dives
  • Maintaining and enhancing internal reporting tools
  • Working closely with traders, quantitative researchers, operations, risk teams, and IT

 

Your present skillset:

  • An advanced degree in business or engineering, ideally with a focus on finance
  • Relevant experience is appreciated but not mandatory
  • Strong programming skills in at least one language (VBA, Python, or SQL)
  • Advanced proficiency with Microsoft Office
  • Ability to adapt, prioritise, and stay detail-oriented in a fast-moving environment
  • Solid analytical and organisational skills
  • Clear written and verbal communication
  • A collaborative mindset

 

Your enhanced experience and learning opportunities at QRT:

  • Mentorship from experienced industry professionals
  • Hands-on exposure to low-latency trading systems (software and hardware)
  • Experience working with large-scale data technologies
  • Insight into a highly collaborative and supportive environment

 

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.