Quantitative Developer, Research & ML Engineering, Systematic Macro
Tasks
- Backtest machine learning models
- Build scalable parameter search and validation
- Collaborate with technology teams to use shared internal platforms
- Deploy models as live trading signals
- Design train and productionize large scale machine learning models
- Develop distributed computation for machine learning
- Enhance and optimize machine learning pipeline
- Improve speed scalability and reliability of signal development environment
Perks/Benefits
- N/A
Skills/Tech-stack
Backtesting | C++ | Data Processing | Deep learning | Distributed Computing | Linux | Machine Learning | Model Validation | Parallelism | Parameter Search | Python
Education
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