2024 Internship/Graduate - Technology

See job description for details

Qube Research & Technologies - Hong Kong - Full time

Salary: Competitive

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.

We have a variety of technology opportunities for our 2024 Campus Recruitment. Below are the responsibilities for each team. Throughout the interview process, we will share with you more info and discuss with you which team would be best fit for you, decide that at offer stage. When you submit your application, feel free to share with us your preference.

Application Timeline:
  • Rolling applications, we review applications all year-round
Infra & Cloud Teams Responsibilities
  • Intel CPU tuning deep dives including overclocking L3 cache configuration, or performance testing production code.
  • Containerization with Kubernetes and monitoring using Grafana and Prometheus
  • Testing and benchmarking new bleeding edge tech in our performance lab, with the view of releasing new technology into production that has a genuinely positive and measurable impact to the business.
  • Building and supporting the tooling to allow our developers to spin highly available, scalable and secure cloud infrastructure on AWS
  • Develop automation scripts to manage and maintain infrastructure using tools such as Terraform and CloudFormation
  • Exposure to following technologies: Linux, RedHat, Python/C++ development, FPGA, Solarflare, git, Bash, SQL, Networks, AWS Cloud Computing, Network protocols, techniques and technologies, Terraform, Ansible, internal software engineering tools.
C++ Developer Responsibilities
  • Developing our ultra-low latency trading system in C++ where we work down to nanosecond latencies and interact with low-level technologies like FPGA.
  • Building out new large-scale data visualisation platforms and tools in Python using modern web tools and new data science concepts.
  • Expanding and re-writing our GUI stack to incorporate new technologies
  • Building out strategic new parts of our platforms using C#/C++/Python and various other technologies like a new risk engine that computes huge volumes of data in real time, and everything else in between.
  • Exposure to following technologies: C++/C#/Python/React development, FPGA, AWS, distributed systems, Linux/Windows, etc. as well as internal software engineering tools.
Quantitative Developer Responsibilities
  • Exposure to many aspects of electronic and algorithmic trading, backtesting, and data management systems
  • Working with traders and quants to roll-out, support and run strategies
  • Building and supporting new quantitative trading framework software
  • Designing clean architecture and leveraging state of the art tools and components
  • Bringing new ideas and experimenting with new technologies
  • Exposure to Python/ C#/ C++
What we are looking for:
  • Dev candidates:
    • Exceptional fundamental computer science skills such as algorithms, data structures, multithreading, network programming, OOP etc.
    • Excellent coding skill in C++/C#/Python, scripting ( Python/Bash )
    • Structured/unstructured data management tools and techniques
  • Infra & cloud candidates:
    • Scripting skills in Python/Bash and automation technologies i.e. Ansible, Terraform
    • Network stack and protocols ( TCP/UDP, unicast/multicast, GBP, PTP, etc.)
    • Configuring switches, routers, security components (firewall, proxy, etc.), aws services ( EC2, VPC, S3, etc. )
  • Penultimate year students or upcoming graduates studying for a degree (Bachelor's, Master's or PhD) in any STEM subject (computer science, physics, mathematics or any related engineering discipline) on track towards obtaining a 2:1 or above.
  • Demonstrable passion for technology! Regardless of whether you have formal CompSci training or not - we are more interested in your achievements in related fields
  • Pro-active and unafraid to ask questions. You can really have a huge impact here, improving our performance with suggestions and optimisations.
  • Entrepreneurial approach and self-motivated.
Internship timeline:
  • We are open for interns to start the internship any month in 2024
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