Neetika has a professional career spanning prestigious global investment banks including Deutsche Bank, Citigroup Global Markets, Credit Suisse, and State Street. She has worked in diverse roles within banking, with a focus on Automated Trading. Her focus areas encompass Trading Analytics, Automated Trading Strategies, Market Microstructure, Risk Management, Data Science, and Machine Learning.

She has a proven track record of developing innovative quantitative solutions, such as forward-looking risk-scoring methodologies to pre-emptively assess operational and business riskiness and performance measurement systems for forecasting models deployed on global banking data. Her enriching experience as a quant has equipped her with deep insights into leveraging advanced analytics and machine learning to optimize trading strategies and manage financial risks.

Passionate about bridging theory and practice, Neetika leverages her quant background to equip students with cutting-edge skills in financial modelling, algorithmic trading, and applied machine learning.