Senior Quantitative Researcher
- Employer
- Pure Hong Kong, EA Licence No: 12S5954
- Location
- Hong Kong, Hong Kong
- Salary
- Competitive
- Closing date
- Aug 16, 2023
View more
- Job Function
- Hedge Funds
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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HK Senior Quant Hiring (Asia, US market experience preferred)
My client, a quantitative asset manager, who is building a new Quantitative Research and Trading team in Hong Kong. They plan to officially launch this Summer and have approved headcounts of 20-30 in the next few years.
With a successful track record of more than 10 years, my client has in-depth experience in the China/US market. Moving forward, they are ready to accept foreign capital and broaden their investments in the APAC market, including Hong Kong, Taiwan, Singapore, South Korea, Japan, and India.
The majority of the current partners started their careers in the US with leading quant funds. They inherited not only collaborative culture but also world-leading technology, outstanding data research capabilities, and rigorous and systematic investment strategies that have created excellent performance.
1) Graduated from well-known universities at home and abroad with relevant majors, such as statistics, mathematics, physics, computer science, etc.;
2) Skilled use of Python language
3) Solid statistics and machine learning knowledge reserves;
4) Experience in data mining, mathematical modeling, and machine learning competitions such as Kaggle is preferred.
My client, a quantitative asset manager, who is building a new Quantitative Research and Trading team in Hong Kong. They plan to officially launch this Summer and have approved headcounts of 20-30 in the next few years.
With a successful track record of more than 10 years, my client has in-depth experience in the China/US market. Moving forward, they are ready to accept foreign capital and broaden their investments in the APAC market, including Hong Kong, Taiwan, Singapore, South Korea, Japan, and India.
The majority of the current partners started their careers in the US with leading quant funds. They inherited not only collaborative culture but also world-leading technology, outstanding data research capabilities, and rigorous and systematic investment strategies that have created excellent performance.
1) Graduated from well-known universities at home and abroad with relevant majors, such as statistics, mathematics, physics, computer science, etc.;
2) Skilled use of Python language
3) Solid statistics and machine learning knowledge reserves;
4) Experience in data mining, mathematical modeling, and machine learning competitions such as Kaggle is preferred.
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