Event : Data Science in Financial services : Capabilities Applications and Limitations

Date: March 23, 2021. Time: 11 am to 12 noon PST. Location: Online.

Data collection and use is a foundational function in the financial services industry. Even the earliest banks were charged with tracking customer transaction activity and maintaining ledger balances.   However, the industry’s reliance on explanatory and predictive data analysis has significantly evolved in recent years and now almost all business functions are dependent on data science.  

Relying on experiences from a long career in financial services including roles in quantitative risk and investment management, eCommerce banking application development and analytical product management, Steve will provide a broad overview of the role of data science in today’s financial industry.  He will describe some data science concepts and their application, effectiveness and limitations in specific use cases.

Speaker Bio

Steve Godfrey is a technical product manager and data science practitioner.  He has spent his career in financial and technology services working for investment management, banking and financial technology firms.  Roles have included quantitative analyst, eCommerce director and technical product manager at firms such as Bank of America, Wells Fargo and PayPal.   As an avid data analyst, he frequently builds tools to manage datasets, model patterns and predict outcomes.  He holds an MBA and BS Mathematics/Applied Economics from UCLA and completed a data-science boot-camp.  He lives in Palo Alto, CA with his wife, has two grown children and enjoys outdoor and mountain activities, working in the garden and traveling.  

Speaker : Steve Godfrey

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