Off-Cycle Trading Intern (Equities - Machine Learning & Financial Engineering)
at Millennium
Posted 4 hours ago
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Off-Cycle Trading Intern in Equities applying machine learning and quantitative methods to discover alpha signals and improve portfolio construction. Support the Analyst and Senior Portfolio Manager with coding, data analysis, financial engineering projects, and bespoke research while collaborating with Ligo teams. Six-month full-time internship starting February 2026 for current Ph.D. students.
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
