Who We Are:
Y-Intercept (Hong Kong) Limited is a quantitative investment management firm dedicated to delivering high-quality returns, supported by tested and proven investment strategies across various asset classes and global financial markets. We pride ourselves on and value intellectual curiosity and hard work, investing in people who are driven to learn and achieve. We are a merit-focused and talent-driven organization, characterized by compassion, respect, and modesty among our team members. We believe in maintaining a healthy and happy lifestyle in an intellectually stimulating environment.
Responsibilities:
- Assist in the conceptualization, design, and testing of predictive statistical models and quantitative trading signals
- Participate in the review and analysis of the performance of new and existing investment strategies
- Support data mining from unconventional or alternative data sources to contribute to the development of innovative trading strategies
- Help monitor daily risks, trading systems, and portfolio positions, and contribute to risk assessment processes
- Collaborate with portfolio managers, technology, operations, and data teams to implement research findings and support the integration of new models into the investment process
Required Technical Qualification, Skills and Experience:
- Currently pursuing or recently completed an advanced degree in Mathematics, Statistics, Finance, or another quantitative discipline
- Solid foundation in probability and statistics, including familiarity with machine learning, time-series analysis, or pattern recognition
- Proficiency in Matlab, C#, Python, or SQL
- Strong analytical and quantitative skills, with the ability to work with large datasets and conduct rigorous research
- Strong organisational skills, attention to detail, and excellent written and verbal communication skills
- Self-motivated, disciplined, and able to operate independently as well as part of a team
Location:
Central, Hong Kong
Y-Intercept (Hong Kong) Limited is an equal opportunity employer.