Campus Program
Core
Research quantitative models, strategies, and asset management using machine learning and deep learning on historical and alternative data to develop and deploy trading algorithms.
Role type
Quantitative Researcher / Quantitative Developer
Builds
Algorithmic trading strategies and models for equities, commodities, FX, and fixed income
Domain
Quantitative finance / Algorithmic trading
Deliverable
production ML models
Required skills
Python, machine learning, deep learning, data mining, financial market knowledge, C/C++ (preferred)
Preferred skills
Practical trading experience (personal accounts or strategy-based), alternative data sourcing
Technologies
Python, C/C++, machine learning frameworks, deep learning frameworks
Responsibilities
Conduct research on quantitative models and strategies; Apply data mining techniques to analyze historical data; Develop new strategies using alternative data sources; Design, implement, and deploy trading algorithms
Seniority
Internship / Entry-level (Fresh graduate)