Instructor
Piyush Dave
FinTech | Global Markets | ALGO Trading | Quant Finance | AI
About me
I am a FinTech, Quantitative Finance, Algorithmic Trading, and Data Science professional with 15+ years of industry experience working across financial markets, global derivatives, quantitative modeling, trading systems, and data-driven applications.
My work is closely connected to real-world financial markets, with a focus on derivatives, global markets, quantitative models, algorithmic trading, analytics, and technology-driven financial solutions. Over the years, I have developed and backtested 50+ algorithmic trading strategies covering mean reversion, trend following, volatility, statistical arbitrage, and quantitative modeling.
I have a strong interest in understanding how global financial and derivatives markets operate across asset classes, exchanges, instruments, market structures, and different market environments. My approach combines financial-market knowledge with quantitative methods, programming, and data analytics to understand and build practical trading and analytical systems.
Teaching is something I pursue alongside my industry career as a passion and personal interest. I enjoy sharing practical knowledge gained from working in the industry and helping learners understand how concepts such as quantitative finance, global derivatives, algorithmic trading, Python, data science, and machine learning are applied in real-world environments.
I have also been invited to conduct guest and industry sessions at institutions including IIM Mumbai, IIT Bombay, NSE Academy, BSE Institute (FinX), and TAPMI Manipal, where I have shared practical perspectives on financial markets, quantitative finance, technology, and data-driven decision-making.
My courses are designed from an industry perspective, with a strong focus on practical implementation, global market applications, coding, quantitative thinking, and building systems rather than learning concepts only from a theoretical perspective.
If you want to understand how global financial markets, derivatives, quantitative finance, algorithmic trading, and data science come together in the real world, you're in the right place.