Off-Cycle Trading Intern (Equities - Machine Learning & Financial Engineering)
at Millennium
Posted 16 days ago
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This role is an off-cycle trading internship in equities applying machine learning and quantitative methods to discover alpha signals and improve portfolio construction. The intern will support Analysts and the Senior Portfolio Manager with coding, financial engineering, data analysis, report generation, and bespoke research. Collaboration with internal teams (Ligo teams) is expected, delivering practical analyses and research to support trading and portfolio decisions.
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Full Job Description
We’re hiring an off-cycle Trading Intern in Equities to apply machine learning and quantitative methods to discover alpha signals and improve portfolio construction. You’ll support the Analyst and SPM with coding and financial engineering projects, collaborating with Ligo teams and delivering practical data analyses, reports, and bespoke research.
As an Intern, your primary responsibilities will include:
- Utilizing machine learning techniques to analyze datasets and identify alpha signals, enhancing portfolio construction strategies.
- Supporting the Analyst and Senior Portfolio Manager (SPM) with coding and financial engineering projects
Requirements:
- Currently enrolled in a Ph.D. program in Machine Learning, Neural Networks, or Computer Science.
- Strong interest in financial market analysis; previous relevant experience is appreciated.
- Excellent analytical and quantitative skills.
- Proficiency in programming and coding using Python, C++, or R is highly beneficial. Your main focus will be on data analysis, interacting with Ligo teams, and assisting with spreadsheets.
- Ability to assist with various tasks, including data analysis, report generation, and bespoke research projects.
- Ability to commit to 6 months full-time internship commencing from February 2026
