
Y-Intercept (Hong Kong) Limited · Hong Kong, HK · 3 months ago
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.
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
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
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:
Y-Intercept (Hong Kong) Limited is an equal opportunity employer.
Headquarters
Hong Kong
Work Location
on-site
Job Category
Data / Analytics
Application Deadline
Not specified
Job Type
internship
Experience Level
entry-level
Application Method
Apply via Website
Salary
Not specified
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