Talking quant investing, data science, machine learning & web 3.0 with Peter Millington

We discuss with Peter Millington, Founder and CTO Scientific Financial Systems, the dominant trend of quantitative investing in the financial markets and the application of data science, machine learning and new sources of information. We also talk to him about web 3.0 and the way it can impact all spheres of our business and life.

About Peter
Peter is an avid participant in fintech and the application of cutting-edge technologies to the financial industry. Pete has spent over 25 years working in quantitative finance and founded
Scientific Financial Systems in 2016 to advance the state of the art of data science, big data, and machine learning in asset management.

Peter is well-versed in financial modeling and quantitative stock selection and
the application of machine learning techniques to financial trading strategies. His research
interests relate to the intersection of alpha and risk modeling as well as the integration
of quantitative and fundamental research processes.

Pete holds a Master’s in Aerospace Engineering from MIT in Cambridge, MA, and an undergraduate degree in Aerospace Engineering from Texas A&M University. Pete has been a Chartered Financial Analyst (CFA) since 1999. Prior to his career in finance, Pete worked for four years as a research scientist at Draper Laboratory in Cambridge, MA investigating novel neural network architectures for advanced control system designs as well as supporting Draper’s NASA Space Shuttle in-flight activities in Houston.

Social media links:
https://www.scifinsys.com/
https://www.linkedin.com/in/peter-millington-60851817/
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#fintech #web3.0 #datascience #financialmarkets #technology #ai #bigdata #machinelearning #assetmanagement #thekajmasterclass