Dr. Yogesh Malhotra is Chief Data Scientist and Machine Learning Engineer of Global Risk Management Network, LLC, leading Quant Finance, Cybersecurity, and Finance-IT-Risk Management practices. As Artificial Intelligence and Machine Learning Subject Matter Expert for MIT Sloan School of Management and MIT Computer Science & AI Lab, he serves as Industry Expert for Management & Leadership AI Executive Education. He gave recent Princeton Quant Trading Conference invited presentations at Princeton University on AI & Machine Learning post-doc R&D in Quant Finance, Cybersecurity, and, Computer Science. His industry leaderships include Wall Street investment banks such as JP Morgan, Big-3 Finance and Big-3 IT firms such as Bank of America, State of New York, and, digital ventures with global clients and patrons such as Goldman Sachs. As Executive Education faculty for Carnegie Mellon and Kellogg and tenure-track professor of Computer Science, Quantitative Methods, and, Information Systems, his research impact is recognized among others such as Black-Scholes by AACSB. His expert engagements include largest Silicon Valley and Wall Street firms, NAIC, NSF, UN, US and world governments. He is profiled in Marquis: Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®.
Bridging networks, systems and controls frameworks for cybersecurity curriculums and standards development
This paper proposes a risk management framework designed to facilitate the alignment, integration and streamlining of professional practice standards and computer science/cybersecurity educational curriculums by bridging NPNATFs, SNIFs and RMCPFs.