Off-Cycle Trading Intern - Quantitative Trading Intern
Hong Kong
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.Job Function Summary
We are currently looking for off cycle interns. The successful candidate will work closely with our portfolio managers, traders and quantitative researcher.
If this sounds like the kind of position you thrive in, we’d love to hear from you.
As an Intern, your primary responsibilities will include:
Research and optimizing the trading strategies of the desk, eventually leading to automated trading signals;
Evaluation, integration and analysis of data according business need, including for LLM applications;
Support coding quantitative models and utilize machine learning/AI techniques and tools;
Help with various work including data analysis, report generation, bespoken research projects.
Requirements:
Currently enrolled in a Phd or Master's Program in computer science, mathematics, operational research and similar quantitative fields;
Applicants must be able to commit to on a full-time basis, for 3 months anytime from June 2025;
Interested in financial market analysis;
Strong analytical and quantitative skills;
Programming and coding proficiency using Python would be a must. Main focus is for data analysis, financial modelling and AI applications;
Familiarity with statistics and machine learning packages in python, including Pandas, Scipy, Scikit-learn, PyTorch and TensorFlow, as well as GCP and AWS applications will be a plus.
Tags: AWS Computer Science Data analysis GCP LLMs Machine Learning Mathematics Pandas PhD Python PyTorch Research Scikit-learn SciPy Statistics TensorFlow Trading Strategies
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