2027 Internship/Graduate - Data Engineer

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Internship
Financial Services
The Role
Manage large datasets across research and trading platforms by designing data stores and APIs, monitoring data-process health and performance, delivering production-ready datasets, and supporting researchers and traders. The role involves Python-based data engineering in a low-latency environment, collaboration with technical and investment professionals, and developing expertise in high-performance real-time trading systems.
Summary Generated by Built In
Programme duration: from 3 to 6 months, starting in 2027.
Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD.

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.
 
Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.
We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.


Data Engineer

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

Your present skillset 

  • Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 
  • Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.
  • Interest to build expertise in high-performance, real-time trading systems 
  • Excellent communication and analytical skills - you will interact directly with Traders and Researchers  
  • Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 
  • Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

  • Knowledge of databases such as SQL or NoSQL. 
  • Experience in front-end development.
  • Interest in financial markets and/or algorithmic trading. 

Interview Process:

  • Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.
  • Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 
  • Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.

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 

Skills Required

  • Penultimate or final year student completing a Bachelor's, Master's, or PhD
  • Strong computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming
  • Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment
  • Working knowledge or interest in Python
  • Interest in high-performance, real-time trading systems
  • Excellent communication and analytical skills
  • Ability to develop autonomy and work in a fast-paced, high-performance setting
  • Rigorous and structured problem-solving approach
  • Knowledge of SQL or NoSQL databases
  • Experience in front-end development
  • Interest in financial markets or algorithmic trading

Qube Research & Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.

  • Wellbeing & Lifestyle Benefits Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
  • Leave & Time Off Breadth Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
  • Healthcare Strength Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.

Qube Research & Technologies Insights

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The Company
HQ: London
774 Employees

What We Do

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. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments

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