Quantitative Research Scientist
Tasks
- Analyze financial and economic time series
- Apply machine learning to automate LPPL parameter estimation
- Build mathematical models for market bubbles and regime shifts
- Develop Market Risk Indicator framework
- Develop Python analytical code and reusable tools
- Document models assumptions and code
- Evaluate alternative quantitative risk methodologies
- Extend models to multiple asset classes
- Improve model calibration optimization and prediction accuracy
- Integrate outputs into internal dashboards
- Research and implement LPPL methodology
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | LPPL | Machine Learning | NumPy | Numerical Methods | Optimization | Pandas | Python | SciPy | Scikit-learn | Series analysis | Statistical modeling | Time Series | Time Series Analysis
Education
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