Farhan Mirza — Product Engineer

I work in quantitative trading and financial modeling, with a strong interest in how mathematical models translate into real market behavior. My professional background spans financial operations and quantitative research, starting with experience at Amazon, where I worked on payment exceptions and transaction analysis in a high-volume financial environment. That experience shaped my approach toward risk awareness, structured problem solving, and analytical decision making. Currently, I work as a Quant Trader at Sixth Sense, focusing on derivatives markets, options strategies, and systematic trading models. My work involves developing quantitative signals, backtesting frameworks, and volatility-driven strategies using Python and statistical methods. My core interests lie in quantitative research, derivatives pricing, volatility modeling, and model risk analysis. I enjoy working at the intersection of stochastic processes, mathematical finance, and market microstructure, building models that are not only theoretically sound but also robust under real trading conditions and risk constraints. Key areas: Quantitative Trading | Options & Volatility | Derivatives Research | Stochastic Modeling | Model Risk | Risk Analytics | Python for Quant | Backtesting & Strategy Development

Stackforce AI infers this person is a Fintech professional specializing in quantitative trading and financial analytics.

Experience: 2 yrs 7 mos