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Information Technology • Software • Financial Services • Big Data Analytics
Conduct quantitative research for investment strategies using advanced statistical and mathematical modeling, machine learning, data analysis, portfolio optimization, and algorithm development. Build predictive models and analyze price formation, risk, and financial market drivers. Collaborate with researchers, engineers, and traders to develop scalable systems and solve real-world investment problems.
Top Skills:
C++Machine LearningPython
Information Technology • Software • Financial Services • Big Data Analytics
Collaborate with quantitative researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. Build scalable software solutions using quantitative techniques to address complex financial problems. The role requires strong programming, Linux development experience, creative problem-solving, business-value prioritization, and effective stakeholder communication.
Top Skills:
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Information Technology • Software • Financial Services • Big Data Analytics
Summer internship on an international long-short equities team. Learn financial modeling, conduct primary and quantitative research, use third-party data, and gain exposure to research technology and risk systems to support investment decisions.
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.
Your future role within QRT
- Your core objective is to conduct research to develop and refine quantitative models for execution strategies.
- Analyse market microstructure and liquidity dynamics to improve trading algorithms.
- Collaborate with other traders/researchers to implement and deploy research findings.
- Monitor and analyse trading performance, identifying areas for improvement and optimization.
Your present skillset
- Advanced degree in a quantitative field such as data science, statistics, mathematics, computer science, physics or engineering.
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
- Coding skills required in at least one leading programming language (Python and C++).
- Experience in exploring large datasets across multiple time frames is a plus.
- Market Making or High Frequency Trading experience is a plus.
- Capacity to work with autonomy within a collegial and collaborative environment.
- High level of communication skills with ability to communicate with technologists, data scientists and traders across the globe.
- Collaborative, critical thinking, analytical and creative problem-solving mindset.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
