Quant Researcher

Golden Horse Fund Management is one of the fastest growing fund management companies in Asia. We employ proprietary statistical and machine learning techniques to analyse large volumes of data to optimally improve and fine-tune our strategies. Our investment team is seeking a highly motivated individual keen in the fund management industry to develop AI investment solutions. As part of investment team, you will have the chance to work with a team of dedicated experts in market data analysis and quantitative trading. An ideal candidate will have an excellent record of academic achievements, solid technical skills, and experience in AI model development.

KEY RESPONSIBILITIES:

1. Technical Strategy: Develop and implement technical strategies aligned with hedge fund business objectives.
2. Team Management: Work with CEO and a team of developers, engineers, and other technical staff.
3. Technical Guidance: Provide technical guidance and oversight for projects and initiatives.
4. Architecture and Design: Design and implement system architectures, ensuring scalability, security, and performance.
5. Vendor Management: Manage relationships with technology vendors and service providers.
6. Research and generate trade ideas which translate to buying and selling stocks, securities, and other financial instruments.
7. Research on portfolio risk and ultimately profitability of portfolio.
8. Carry out daily, monthly and quarterly market reports & forecast to Senior Management and external stake holders.
9. Carry out daily, monthly and quarterly portfolio performance to Senior Management and external stake holders.
10. Assist in the review of NAV reports from Fund Administrator and submission of monthly trade files.
11. Conduct research, development and back test on quantitative or fundamental strategies.
12. Work with team to develop/improve AI solutions to predict market trend and optimise portfolio performance.
13. Extend support to marketing and investor relation functions, website, brochure and marketing materials.
14. Source for government loans and grants available in the industry.
15. Provide updates from regulators and tax authority.
16. Other ad hoc administrative duties.

QUALIFICATIONS:

1. Master in a quantitative discipline (e.g. Mathematics/Statistics, Economics, Quantitative Finance, Financial Engineering, etc) with proven academic achievement and clear ability to handle data and perform quantitative analysis
2. Minimum 5 years of relevant experience
3. Proficient with programming in Python, C/C++ or Java
4. Rich experience with machine learning algorithms and deep learning framework, such as Tensorflow and PyTorch
5. In-depth knowledge on latest NLP technologies and experience in NLP model development
6. Ability to handle multiple tasks with accuracy and attention to detail
7. Finance knowledge is not required, while strong passion in investment is a plus

COMMITMENT:

Monday to Friday Office Hours