2027 Campus Program
Core
Research quantitative models, strategies, and asset management using machine learning and deep learning on historical and alternative data to develop investment models and deploy trading algorithms.
Role type
Quantitative Researcher / Algorithmic Trader (Campus Program)
Builds
Proprietary low-latency trading systems and diversified investment strategies for institutional investors, family offices, and high-net-worth individuals.
Domain
Quantitative finance, algorithmic trading, financial data science
Deliverable
production ML models | product features
Required skills
Python, financial market knowledge, data mining, machine learning, deep learning
Preferred skills
C/C++, practical trading experience (personal accounts or strategy-based), alternative data analysis
Technologies
Python, C/C++, machine learning frameworks, deep learning frameworks
Responsibilities
Conduct research on quantitative models and strategies; Develop new strategies using alternative data sources; Design, implement, and deploy trading algorithms.
Seniority
Entry-level (Internship / Fresh Graduate)