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Kannan Singaravelu

Kannan Singaravelu

Kannan Singaravelu is a Quantitative Equity and Derivatives Researcher. His expertise is in derivatives structuring, research and data analytics.

Kannan has a rich experience spanning across asset classes where he headed a commodity derivatives research desk and oversaw a multi-asset structured product business. In 2014, he moved to Bloomberg LP as a derivatives market specialist and has early exposure to the Bloomberg quant and data science platform. Later, he was associated with Bloomberg Quint and contributed to the BQEdge derivatives series.   

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Kannan is a strong advocate of financial data science and fond of scientific computing and machine learning. Kannan organizes bootcamps about Python and is a speaker in the PyData Mumbai meetup group. He has designed and developed a comprehensive Python for Derivatives and Python for Quant Finance modules that are now part of financial derivatives curriculum in reputed institutes.

Kannan holds a Bachelor degree in Mechanical Engineering and a Master degree in Business Administration and is a CQF alumnus.