Memoir

Kannan Singaravelu is a leading expert in quantitative finance, derivatives, and machine learning, with a career spanning two decades at the intersection of financial markets and cutting-edge technology. A futurist in applying AI and data science to real-world finance, he is known for transforming complex concepts into powerful, actionable insights.

Kannan’s career includes a high-impact tenure at Bloomberg, where he advised top-tier institutional clients on derivatives strategies and workflow automation. As an early adopter of the BQuant platform, he pioneered data-driven solutions that redefined financial analytics. His ability to bridge traditional finance with emerging technologies has made him a sought-after advisor and educator.

Renowned for his engaging Python Labs and Machine Learning workshops, Kannan has trained thousands of finance professionals globally. As one of the most celebrated instructors in Fitch Learning’s CQF Program, his teaching has influenced a generation of quants—so much so that his courses have been translated into Chinese to reach a broader audience.

Kannan is the creator of Quantmod, a widely used Python library. He holds a degree in Mechanical Engineering, an MBA, a Certificate in Quantitative Finance (CQF), and an Applied Data Science certification from WorldQuant University (WQU).