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Qube Research & Technologies

Posted 28 days ago

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2027 Internship/Graduate - Data Engineer

Hong KongOn-site

AI Summary

Data Engineer intern at a quantitative investment manager, responsible for managing large datasets, designing data stores and APIs, monitoring data processes, and delivering production-ready datasets to support researchers and traders in a low-latency trading environment.

About this role

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

AlgorithmsAPI DesignData EngineeringData StructuresFront-end DevelopmentLow-latency SystemsNoSQLObject-oriented ProgrammingParallel ProgrammingPythonSQL

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