Quantitative Research Internship
Core
Research-focused internship applying advanced statistical and mathematical techniques to develop and evaluate quantitative signals and strategies for systematic trading.
Role type
Quantitative Research Intern
Builds
Systematic investment strategies and quantitative models for institutional portfolios
Domain
Financial technology / Quantitative trading
Deliverable
production ML models
Required skills
Statistics and probability theory, Python programming, Machine learning techniques, Data analysis, Algorithmic solution development
Preferred skills
Experience with NumPy/Pandas, Research-driven environment experience, Financial markets interest
Technologies
Python, NumPy, Pandas
Responsibilities
Assist in research and development of systematic investment strategies across multiple asset classes, Analyse large and complex financial datasets to identify signals and patterns, Design, implement, and test quantitative models, Support backtesting and validation of trading strategies, Maintain and enhance research infrastructure and data pipelines, Document research methodologies and present findings to senior researchers
Seniority
Intern, PhD student (penultimate year)