2027 Internship/Graduate - Data Engineer

4 дн. назад

Hong KongWorldwideTrainee

Internship opportunity for penultimate or final year students to gain experience in data engineering within a quantitative investment management firm.

Как откликнуться

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

Другое

 
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.