Quantitative Researcher
Tasks
- Analyze high frequency limit orderbook data to identify patterns and signals
- Apply statistical and machine learning methods to improve signal quality
- Build and backtest quantitative models using historical tick and orderbook data
- Develop and maintain data pipelines for high frequency market data
- Monitor and iterate on live signals and models based on performance
- Translate research findings into production ready trading strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Backtesting | Data Pipelines | Decision Trees | Gradient boosting | Machine Learning | Market Microstructure | NumPy | Pandas | Predictive Modeling | Python | Random Forests | Series analysis | Statistics | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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