Quantitative Trader (Proprietary Trading & Asset Management)
Developed and deployed systematic trading strategies using data analysis and Python-based workflows, effectively creating labeled/structured datasets for algorithm evaluation and live execution. Used quantitative research and strategy optimization to transform raw market data into model-ready inputs and to validate performance under risk constraints. Focused on improving decision-making via systematic methodologies and automated processes. • Built data processing and analysis scripts in Python for strategy research and automation • Implemented algorithmic trading workflow design and strategy evaluation cycles • Performed live deployment operations for real-market trading systems over time • Applied systematic risk management to ensure strategy robustness