Machine Learning Research (Intern)
Core
Developing and improving high-frequency trading (HFT) strategies using machine learning, deep learning, and reinforcement learning techniques.
Role type
Machine Learning Research Intern
Builds
HFT strategies and quantitative trading models
Domain
Quantitative finance / High-frequency trading
Deliverable
production ML models
Required skills
probability theory, mathematical statistics, machine learning, Python
Preferred skills
big data processing (MapReduce, Hadoop, Apache Spark), competitive programming, ML competitions participation
Technologies
Python, MapReduce, Hadoop, Apache Spark
Responsibilities
Conduct research and development of HFT strategies; Analyze market microstructure to identify trading opportunities; Collaborate on implementing and optimizing trading strategies; Assist in quantitative strategy design.
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