Solid background in mathematics, machine learning, programming, finance, and statistics.
Highly interested in quantitative research, especially in derivatives pricing, high-frequency trading, market microstructure, and statistical arbitrage.
1. C/C++, Python(numpy, pandas, scipy, scikit-learn), MATLAB, R, SQL
2. Time series analysis, Econometrics, deep learning and machine learning methods.
3. Simulation, finite difference, and other numerical methods.
4. Stochastic calculus, and derivative pricing.
Data Related, Quant Related
Expected Base Salary
**,000 USD / year
Expected Hourly Rate
Total Professional Experience
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