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Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Supports manager research and fund due diligence through investment research, thought leadership papers, client deliverables, administrative and analytical work, and ad hoc projects. Requires enrollment in an undergraduate or graduate program, strong interest in investing, organizational skills, communication abilities, basic Microsoft Office knowledge, and commitment to working in the Hong Kong office two to three days per week.
Top Skills:
ExcelMS OfficeMicrosoft PowerpointMicrosoft Word
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Manage institutional investment software clients using Morningstar Direct. Build trusted relationships, provide product guidance, support demos and trials, conduct client workshops, improve customer workflows, contribute to renewals and upsell opportunities, and collaborate with Sales, Product, Data, and Customer Success teams to maximize client value.
Top Skills:
Ai-Enabled ToolsMorningstar Direct
Financial Services
Provides daily client service and post-trade operational support for equity derivatives transactions. Resolves client and internal inquiries, manages risks and controls, supports change initiatives, and partners with sales, trading, and business teams. Contributes to process improvement and automation efforts while maintaining knowledge of equity derivatives products, confirmations, settlements, and regulatory reporting.
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.
