Quantitative researcher with strong mathematical background and proven experience in statistical analysis, data-driven decision-making, and algorithmic problem-solving. Demonstrated success in conducting in-depth research projects, implementing mathematical models, and developing efficient computational solutions across financial applications.
Developed statistical arbitrage models using Python for market data analysis Implemented machine learning algorithms for financial time series prediction Created optimization models for portfolio risk management