Quantitative Analyst


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

Employment Preferences
Expected Base Salary

**,000 USD / year

Expected Hourly Rate

** USD

Academic Degree

Total Professional Experience

2 years
Contact Candidate


Send a connection request to the candidate to get their contact details.

Contact Candidate