Stock Options Trader - Singapore - Swift Search Global Pte. Ltd.

Description

• Handling Quantitative Macro portfolio
• Strong programming skills in Python, R or Matlab.
• Manage a global investment portfolio using quantitative methods
• Experience with machine learning/deep learning will be added advantage
• Central
• Mon-Fri (9am-6pm)

Roles:

1. Manage a global macro portfolio that invests across multiple asset classes using quantitative models and algorithms to generate profits for the firm.
2. 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.
3. 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.
4. Conduct rigorous research and analysis of market data to identify trading opportunities and maintain a deep understanding of the markets.
5. Update the internal database on a daily basis and ensure data integrity and accuracy.
6. Supervise the AIDA project to develop machine learning/deep learning models for stock forecasting.
7. Ensure the cohesiveness and support for the whole investment team.
8. Update internal stakeholders on daily portfolio performance, by tracking investment exposures and conducting necessary reconciliation of positions.
9. 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.
10. Support the investment team and company in other ad-hoc tasks in relation to investment operations.

Requirements:

1. Bachelor's degree in a quantitative field such as mathematics, statistics, physics, computer science, engineering or finance.
2. 3-5 years of relevant experience.
3. Strong analytical skills and proficiency with trading concepts.
4. Strong knowledge of financial instruments.
5. Strong programming skills in Python, R or Matlab.
6. Ability to handle multiple tasks with accuracy and attention to detail.
7. Ability to work under pressure.
8. Prior experience with machine learning/deep learning preferred.

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EA Personnel Name: Lucas Chang
EA Personnel No: R1874043
EA License No: 18C9495