Dr. Yogesh Malhotra
Who's Who in America®,
Who's Who in the World®,
Who's Who in Finance & Industry®,
Who's Who in Science & Engineering®
IT-Finance-Risk Management Computational, Quant & Cybersecurity Practices Leaderships
World's Largest Banking & Finance Firms, IT & Telecom Firms, Wall Street CxOs, Silicon Valley CxOs,
National Science Foundation; United Nations; US & World Governments, Economies, Defense Agencies.
2015-2016: 39 Top-10 SSRN Research Rankings: Computational, Quantitative & Cyber Risk Analytics.
2008: AACSB: Real Impact of Research among Nobel Laureates such as Black-Scholes & William Sharpe.
2016 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
2015 Princeton Quant Trading Conference Invited Research Presentation: Sponsor: Princeton University.
2016 New York State Cyber Security Conference Research Presentation: Sponsor: New York State Governor.
2015 New York State Cyber Security & Engineering Technology Association Conference: Sponsor: NYSETA.
2015-2016: 39 Top-10 SSRN Research Rankings in World-Leading Computational, Quant & Cyber Risk Analytics.
2015-2016: Computational, Quant & Cyber Risk Analytics Presentations sponsored by New York State and Princeton University.
Over 20-Years of Global High Impact Hi-Tech Practices Leadership spans Silicon Valley to Seoul and all continents in between.
Considerable Real Impact of Scholarly Research on Global Practices ranked among Finance & IT Nobel laureates in scientific studies.
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Advancing on leadership of top Wall Street investment banks and hedge funds and having examined next-generation computational probabilistic modeling of financial econometric signals processing for global financial markets using computer science algorithms and machine learning, his computational quantitative risk management focus advanced to include global electromagnetic spectrum networks and global networking and encryption protocols. Spanning deterministic, stochastic, and non-deterministic computational statistical modeling methodologies, his current Computer Science, Computational Quantitative Analytics, &, Cybersecurity-Finance applied research focus is on high-dimensionality complex stochastic problems involving computational time complexity and computational space complexity relevant to emerging Model Risk Arbitrage and Model Risk Management concerns of Wall Street Chief Risk Officers such as the following."Recently, such probabilistic, statistical, and numerical methods related concerns are in globally popular press related to cybersecurity controls and compliance. Earlier, similar probabilistic, statistical, and numerical methods related concerns were in the global popular press in the context of the global financial crisis. Future questions focused on the underlying assumptions and logic may focus on related implications for compliance, controls, valuation, risk management, etc. Likewise, recent developments about mathematical entropy measures shedding new light on apparently greater vulnerability of prior encryption mechanisms may offer additional insights for compliance and control experts. For instance, given related mathematical, statistical and numerical frameworks, analysis may also focus on potential implications for pricing, valuation and risk models. The important point is that many such fundamental assumptions and logic underlying widely used probabilistic, statistical, and numerical methods may not as readily meet the eye."
Source: Invited Interview on Bitcoin BlockChain Cryptographic Protocols with Hong Kong Institute of CPAs, Jan. 20, 2014.
Reference: First Research Report on Bitcoin 'Cryptographic Proof' preceding Goldman Sachs & other high-profile FinTech reports, Dec. 04, 2013.
How applied research shapes worldwide practices - an exemplary illustration in context:
"[T]he approaches to mitigate operating risk associated with the use of models need to evolve to reflect recent trends in the Finance Industry. In particular there are a number of new areas where it is not possible for the "human eye" to necessarily detect material flaws: in the case of models operating over very small time scales in high frequency algorithmic trading, or for portfolio risk measurement models where outputs lack interpretability due to high-dimensionality and complex interactions in inputs, the periodic inspection of predicted versus realized outcomes is unlikely to be an effective risk mitigate. These situations require a holistic validation framework of the system focused on identifying and mitigating potential failures, taking into account the models’ objectives, their implementation including the joint interaction of software and hardware, their response to potential input shocks in real time and the fail-safe mechanisms."
Retained Exec Interview Spec: Managing Director/Executive Director, NYC, Top Wall Street Investment Bank; Interviewed: March 21, 2014.
While AACSB International Impact of Research Task Force reports "substantial impact on practice" of his research among Finance & Economics Nobel laureates such as Black-Scholes, Harry Markowitz, and, Bill Sharpe, premier scientific impact studies in top-tier research journals have ranked and recognized the impact of his research among top Economists, Information Scientists, and, Strategists such as Joseph Schumpeter, Paul Romer, Nobel laureate Herbert Simon, and, Michael Porter. In addition to being included among both Ikujiro Nonaka and Herbert Simon in the top-ranked research impact by the citation impact analysis studies published by the American Society for Information Science & Technology (ASIST), and, the University of Minnesota MIS Research Center, he was among them to be invited as seminal contributors to advancing Knowledge Management by the American Society for Quality, the administrator of Malcolm Baldrige National Quality Program Awards, for their flagship peer-reviewed research journal.
Dr. Yogesh Malhotra’s recent research is the focus of invited research presentations at the 2016 Princeton Quantitative Trading Conference and the 2015 Princeton Quantitative Trading Conference sponsored by Princeton University, Goldman Sachs, Citadel, and, KCG Holdings. That research is also selected for 39 SSRN Top-10 Research Rankings in statistical, econometric, computational, and stochastic modeling techniques by the SSRN research network founded and overseen by professors from institutions such as Harvard Business School. Earlier, the real world impact of his published research in Model Risk Management on worldwide practices was recognized by the AACSB International Impact of Research Report while he served as Assistant Professor of Quantitative Methods at Syracuse University and was promoted to Associate Professor. His earlier research is ranked and recognized among Top-50 Business & Economics researchers as well as Information Science and Finance/Economics Nobel laureates in business press, industry surveys & scientific impact studies. His applied research including world's Top-ranked Research Web site (Computerworld), Top-3 Search Engine (Carnegie Mellon Industry.Net National Awards), and Top-10 social network developed while doing PhD is recognized among global benchmarks of practice in worldwide business technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, Chief Executive, etc. His applied research ventures are also recommended and applied by top IT Executives such as Microsoft Founder, Chairman and CEO Bill Gates; top Business Executives such as PwC Vice Chairman and CKO Ellen Knapp; global Banking and Finance institutions; CxOs of NASA / US Army / US Navy / US Air Force / US Air Force Research Lab; and senior leaders at world governments and parliaments such as the European Union and the Australian Parliament.
His Computational Quantitative Risk Management focus over the last decade has been on advancing top Wall Street investment banking leadership risk management strategies to reflect recent trends in Finance particularly as they relate to Model Risk Management concerns. His recent experience is in leading quantitative finance and quantitative risk modeling projects for top Wall Street investment banks with $1 trillion AUM such as JP Morgan Private Bank. Prior to that he founded award-winning influential financial and risk analytics ventures with clients and patrons such as top Wall Street and IT firms such as Goldman Sachs, Google, IBM, Intel, Microsoft, and, Ogilvy; top consulting firms such as Accenture, E&Y, McKinsey, and, PwC; and top business schools such as Harvard, MIT, Princeton, Stanford, and, Wharton while Associate Professor & Assistant Professor of Quantitative Methods in research academia and invited Executive Education faculty at Carnegie Mellon University Graduate School of Industrial Administration (now, Tepper School of Business) & and, Kellogg School of Management among Digital Business-IT Pioneers. Before research academia, he was a global banking modeling & implementation projects leader with big banks such as Bank of America across USA and Hong Kong and led development of global financial systems used by worldwide banks and financial firms. His research is advancing execution of SR11-7 and OCC 2011-12 Model Risk Management Guidance of OCC and US Federal Reserve System such as 'anticipation of risks' by 'effective challenge of models'.
He has been called on to advise the US National Science Foundation (NSF), the United Nations (UN), US & World governments, parliaments, and, cabinets and delivered national keynotes and nationally broadcast interviews among Knowledge Management pioneers such as Dr. Ikujiro Nonaka, University of California Berkeley Distinguished Professor, and Dr. Charles Lucier, Booz Allen Hamilton Partner & CKO. He has been interviewed among Virtual Organization pioneers such as Hatim A. Tayabji, CEO, Verifone, while he held a PhD research fellowship in mid-1990s pioneering some of the early globally influential digital transformation ventures including world's Top-ranked Research Web site (Computerworld), Top-3 Search Engine (Carnegie Mellon Industry.Net National Awards), and Top-10 Social Network. His Digital & Analytics ventures recommended by IT visionaries such as Microsoft founder Bill Gates are recognized as global benchmarks of practice in worldwide business technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, and, Chief Executive, etc. and by prestigious institutions such as Harvard Business School and MIT.
While serving in quantitative risk modeling research academia, as one of the two US economists with Northwestern University Departmental Chair & Professor of Economics being the other, he led the United Nations global expert panel of economists as invited quantitative economist expert on National Knowledge Assets Measurement. He also served as invited panelist on 32 national expert panels of computer scientists for the US National Science Foundation for allocation of multi-million dollar US federal funds. He served as one of four founding members and contributing editors for Ziff Davis and led US CxOs in global standards development for the Global Standard for Internet Commerce. He guided strategic development of Next Generation e-Business Architectures for $100 billion hi-tech firms such as Intel Corporation. He served as invited plenary keynote speaker & thought leader for Silicon Valley Venture Capitalists & CxOs; the Conference Board National Quality Council of Malcolm Baldrige National Quality Award CxOs; the Institute for Supply Management; United Nations world headquarters Global Economists Expert Panel; and United States Federal Government and world governments, parliaments and cabinets such as Government of Netherlands and Government of Mexico, and national economies such as South Korea.
Six years before AACSB highlighted the impact of his research, CNet had conferred Corporate Computing Award on his research paper cited by the AACSB as being the most influential research paper based upon their usage counts of all their archived research papers. His applied research technology ventures have won top awards, top rankings, and, editorial reviews as global CxO best practices benchmarks in most known US and worldwide top-tier Information Technology and Information Systems business press journals. Editorial reviews of his technology ventures and his interviews have appeared in the worldwide business and technology press including Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, Chief Executive, etc.
His research for advancing thought leadership and insights of world's foremost leaders and top executives is found in use as standard reference in libraries of institutions such as Harvard, MIT and Princeton, and in top universities and business schools of the world such as Harvard Business School MBA Program, Stanford Graduate School of Business and Wharton School. His biography has been selected by invitation for inclusion in biographical profiles of worldwide leaders and achievers from both the United States and around the world in: Marquis Who's Who in America®, Marquis Who's Who in the World®, Marquis Who's Who in Finance & Industry®, and Marquis Who's Who in Science & Engineering®.
After trying to stockpile the hundreds of trade and research publications publishing thousands of reviews of his digital research ventures since he started programming those while a PhD student - including four of the first write-ups in The Wall Street Journal - he ended up tossing away all of those print publications having run out of storage space between moves across the country. He does recall with amusement seeing a study in an ASIS&T research journal that benchmarked the WWW search engine produced by senior academics at a Top-5 MIS research university [after having spent millions of dollars of U.S. taxpayers' money awarded as grants given by the National Science foundation] against the 'personal venture' he funded on his personal shoestring budget to challenge billion dollar alternatives being produced then by world's largest tech corporations such as AT&T. What was indeed amusing was that the NSF-funded research conducted by those academics had no demonstrable impact to show relative to what he produced on his own time and with his own funding which was covered around the world with specific demonstrable impact on real-world practices. As a PhD student, he was also thrilled to see his early solo digital WWW ventures developed on the side [while working full-time on PhD and associated research fellowships] being awarded the 'Best Site' award by Computerworld while pondering why the same IT-Computer Science trade journal selected as the Worst Site the production of the most hyped and 'revered' WWW site of the top academics that literally 'owned' the discipline in which he happened to land up for his PhD. Inspired by those insights learned as a PhD student who started 'playing' with the WWW with the first WWW browser in beta, he always considered his applied research as the 'alternative hypothesis' directly focused on the major critical real world problems of large-scale systems failures despite exponential progress in diverse information technologies powering them. [AACSB International Impact of Research Report would recognize related basic research in 2008 among others such as Finance Nobel Laureates such as Black-Scholes observing that "in information systems, the research of Malhotra has helped companies to understand why knowledge management systems fail."]. He would share his 'recipe' for pioneering new digital disciplines and practices subsequently over more than 20 years in an Inc. magazine interview as 'obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about.' He was intrigued to later see the same insights guiding and inspiring the national defense strategies and policies of entities such as the U.S. Office of the Under Secretary of Defense (Comptroller) & Defense Information Systems Agency.
Recent Research Presentations and Research Reports
Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.
2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.
Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
2015-2016 35 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.
2008 AACSB International Impact of Research Report: Named among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller
Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures
• Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance
• 2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage
• 2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance
• Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects
• Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'
• Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models
• Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance
• JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio
• JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio
• Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
• Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models
• Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming
• Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management
• Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing
• Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing
• Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects Impact
• Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions
Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research
• FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance
• AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe
• Research Impact Recognized among Finance & Information Technology Nobel laureates
• 35 SSRN Top-10 Rankings: Computational Quant Analytics: Algorithms, Methods & Models
• FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling
• Computational Quantitative Finance Modeling & Risk Management Research Publications
• Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics
• Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management
• U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance
• Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis
• Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling
• OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk
• Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation
• Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science
Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures
• CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity
• CxO Consulting: Global, National & Corporate Risk Management Practices Leadership
• CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk
• CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk
• The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences
• The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research
• UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel
• National Science Foundation Cybersecurity & Cybercomputing National Expert Panels
• Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant
• Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices