at Millennium
Hedge FundsPosted a month ago
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**Off-Cycle Trading Intern - Quantitative Researcher, Millenium Hong Kong** As an Off-Cycle Trading Intern - Quantitative Researcher, you'll drive alpha strategy development in equities, leveraging rigorous data science and machine learning. Key responsibilities include conducting quantitative research, analyzing tech, fundamental, and alternative datasets, and enhancing the team's alpha research platform. Expected to have Master's-level education in a quantitative field, with expertise in statistics, machine learning, and time series analysis. Preference for proficiency in Python and C++, strong programming skills, and prior industry experience.
- Compensation
- Not specified
- City
- Hong Kong
- Country
- Hong Kong
Currency: Not specified
Full Job Description
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
The team is part of Millenniums global trading business that trades APAC and global equity markets from Hong Kong. It is focused on developing proprietary quantitative models for return forecasting, portfolio construction, execution, and risk management. The teams research spans technical, fundamental, sentiment, and alternative data, with a strong emphasis on applying rigorous quantitative methods to generate insights that support live trading decisions.
What You'll Do
- Conduct quantitative research on trading and investment strategies, primarily in equities and, where relevant, across other markets
- Research alpha signals for mid-frequency trading using rigorous, data-driven scientific methods
- Analyze technical, fundamental, sentiment, and alternative datasets to identify and evaluate signals that can inform alpha strategy development and support the teams P&L
- Maintain and enhance existing models, codebase, and research tools that support the teams alpha research platform
What You Bring
- Pursuing a Masters or PhD in Computer Science, Mathematics, Statistics, Operations Research, Financial Engineering, Financial Economics, or a closely related quantitative field
- Strong foundation in one or more of the following areas: statistics, time series analysis, financial accounting, econometrics, numerical computing, optimization, machine learning, or large language models
- Experience working with large, unstructured alternative datasets is preferred
- Strong programming skills in Python and C++, with hands-on experience working with data
- High intellectual curiosity, a proactive mindset, and the ability to learn quickly
- Ability to work independently while contributing effectively in a team environment
- Prior internship experience in the financial industry is preferred but not required
- Availability to commit to a full-time internship for 3 to 6 months starting in August 2026
