Electronic Trading HedgeFund Quantitative Researcher

What You’ll Do

• Active involvement in research projects related to latency and available liquidity prediction
• Development and enhancement of market prediction models based on requirements from internal trading teams
• Efficient methods for storing and analyzing large amounts of data
• Evaluation of large volumes of market data to improve trading strategy performance
• Collaboration with internal trading teams to build and enhance market prediction models
• Investigation and design of data mining and machine learning algorithms
• Research for modeling and forecasting future price actions and volatility
• Development and improvement of scalable quantitative research frameworks using Python, C++, and other software systems
• Development and exploration of new opportunities to build and expand the current revenue base

Skills You Will Need

• A background in Machine Learning and Statistics
• Strong Python experience
• Experience with C++ or another lower level language (a plus)
• Excellent problem solving abilities