- Strong programming skills in Python, R or Matlab.
- Strong knowledge of financial instruments.
- Machine learning, Deep learning
- Clarke Quay
- Walking distance from MRT
- 5 Days work week
- Compensation commensurate with experience e.g- Developing New Quantitative Models/Strategies ...
Roles:
- Execute and manage a global macro portfolio that invests across multiple asset classes using quantitative models and algorithms to generate profits for the firm.
- Manage daily trade execution, and analyse performance data to identify trends and patterns and optimize trading strategies. Continuously improve existing models and strategies, incorporating new techniques and data sources as appropriate.
- Monitor positions and risk exposure, making adjustments as necessary in response to changing market conditions or new information. Ensure compliance with regulatory requirements and internal policies.
- Conduct rigorous research and analysis of market data to identify trading opportunities and maintain a deep understanding of the markets.
- Update the internal database on a daily basis and ensure data integrity and accuracy.
- Supervise the AIDA project to develop machine learning/deep learning models for stock forecasting.
- Ensure the cohesiveness and support for the whole investment team.
- Update internal stakeholders on daily portfolio performance, by tracking investment exposures and conducting necessary reconciliation of positions.
- Provide daily updates on the global financial market, update monthly one pager, and craft quarterly report on global macroeconomic outlook for existing and potential investors.
- Support the investment team and company in other ad-hoc tasks in relation to investment operations..
Requirements:
- Advanced degree in a quantitative field such as mathematics, statistics, physics, computer science, engineering or finance.
- Strong programming skills in Python, R or Matlab.
- 3-5 years of relevant experience required.
- Experience with machine learning/deep learning preferred.
EA License No: 18C9495
EA Personnel No: R1874043
EA Personnel Name: Lucas Chang
