Dr. Yogesh Malhotra: RESEARCH: Beyond 'Prediction' to 'Anticipation of Risk': Research Impact among Nobel Laureates: Princeton University Presentations: Digital Ventures:
[Digital Transformation Pioneer] [Computational Quant Analytics] [CyberSecurity Risk Engineering] [AI, Algorithms & Machine Learning] [FinTech: 'Rethinking Finance']
2015 & 2016 Princeton Quant Trading Conference Presentations: Computational Quant & Crypto Machine Learning Algorithms,
2008: AACSB International Impact of Research Report: Named among Black-Scholes, Harry Markowitz & Bill Sharpe
Projects Goldman Sachs JP Morgan Wall Street Hedge Funds Princeton Presentations Model Risk Arbitrage Cyber Finance Cyber Risk Insurance Ventures
Bayesian vs. VaR Markov Chain Monte Carlo Models Mobile Trust Models Pen Testing Frameworks Bitcoin Cryptanalytics NFS Cryptanalytics Algorithms
Research Impact Future of Finance Beyond VaR Model Risk Management SR11-7 OCC2011-12 Future of Risk Cyber Risk SSRN Google Scholar Publications
Dr. Yogesh Malhotra: AACSB Reports Real Impact of Research among Finance Nobel Laureates:
Dr. Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Vision Korea National Campaign (2000): Dr.Charles Lucier of Booz Allen Hamilton, Dr.David Snowden of IBM, Dr.Robert H. Buckman of Buckman Labs, Dr.Hubert Saint-Onge of Canadian Imperial Bank of Commerce, Professor Dr.Ikujiro Nonaka of Hitotsubashi University
“If you spend some time at [digital risk management research lab] founded by Dr. Malhotra you will be blessed by some of the world’s most astute thinking on the nature of knowledge and its value.”
- U.S. Army Knowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail", Department of Defense, United States Army.
Model Risk Management program that anticipated needs of OCC and Wall Street CROs to 'anticipate risk' over a decade before they all said 'we must anticipate risk': with research 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'.
Dr. Yogesh Malhotra's research is recognized among 'exemplars' of 'considerable impact on actual practice' such as Black-Scholes, Harry Markowitz, and William Sharpe in the AACSB International Impact of Research Report. The AACSB International Impact of Research Report noted the real world impact of his fundamental and applied scholarly Model Risk Management research among exemplars such as The pricing of options and corporate liabilities by Black-Scholes and Merton, Portfolio selection by Harry Markowitz, and, Capital market prices by Bill Sharpe. High-profile scientific impact studies have ranked the impact of his research among Top-50 Business Economics researchers such as computer scientist Herbert Simon and economist Joseph Schumpeter. His research and practices are ranked and profiled in scientific impact studies, global business press, and industry surveys among Finance & Information Science Nobel laureates and distinguished professors from institutions such as Harvard University.
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 such as JP Morgan Private Bank with $1 trillion AUM. 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, and, Microsoft; 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 Executive Education faculty at Carnegie Mellon & Kellogg. 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. research 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'.
Career in Quantitative Modeling & Risk Modeling Research Academia
In May-June 2009, on conclusion of his responsibilities for the academic year faculty contract at the Syracuse University, he left research academia to return to and immerse himself in full-time Banking and Finance practice and post-doctoral research focused on next generation Cyber Risk and Quantitative Finance Computational Quantitative Analytics Models that would pioneer foundational research guiding Cyber Finance and Cyber Risk Insurance Modeling practices used by worldwide organizations. His post-doctoral research started with a 5,000 hour analysis of risk management model failures underlying the Global Financial Crisis over its first year leading him subsequently to shape the future of Quantitative Finance and Risk Modeling practices of top Wall Street Banks with $1 Trillion AUM such as JP Morgan in midtown Manhattan.
The 5,000 hour analysis of risk management model failures underlying the Global Financial Crisis would result in fulfillment of the New York State’s AICPA CPA (Education) requirement while yielding an AACSB-accredited MS Accountancy, the first of four post-doctoral graduate Computational Quantitative Analytics degrees in post-Crisis Finance (MS Accountancy (Asset Pricing, Capital Markets, Risk Management), MS Quantitative Finance, MS Computer Science (AI & Modeling, Algorithms, Machine Learning), MS Network & Computer Security (Cybersecurity & Information Assurance) and Certified Ethical Hacker professional certification), to be accumulated in course of real-world focused post-doctoral research squarely advancing post-Crisis Finance-Risk Management-Cybersecurity practices.
In February 2008, AACSB International Impact of Research Report recognized Yogesh Malhotra's research on advancing the risk modeling and risk management paradigm for large-scale complex systems among "exemplars" of "considerable impact on actual practice" such as Nobel laureates Black-Scholes, Harry Markowitz, and, William Sharpe.
“There are many examples illustrating that advances in basic research have had a substantial impact on practice. Exemplars of this phenomenon can be seen in finance through academic publications on the theories of portfolio selection (Markowitz, 1952), irrelevance of capital structure (Modigliani and Miller, 1958), capital asset pricing (Sharpe, 1964), efficient markets (Fama, 1965 and 1970), option pricing (Black and Scholes, 1973), and agency theory (Jensen and Meckling, 1976). All are well-known for their substantial impact on both theory and practice. In information systems, the research of Malhotra (Malhotra, 2004) has helped companies to understand why knowledge management systems fail...” - AACSB International Impact of Research Report, 2008.
In February 2008, he was promoted by the Syracuse University's Martin J. Whitman School of Management Promotion & Tenure Committee from Assistant Professor of Quantitative Methods (IT, Operations Research & Statistics) to Associate Professor in the Accounting Department and recommended for tenure by the Promotion & Tenure Committee comprised of senior faculty members from across the Martin J. Whitman School of Management.
In 2008, he was invited to join the Emerald Management First (UK) International Advisory Board among others such as the Balanced Scorecard and Activity Based Costing pioneer Dr. Robert S. Kaplan, Baker Foundation Professor, Harvard Business School, and Business Reengineering Pioneer Jim Champy.
In 2007, Business Standard, India profiled his insights and research among "world's leading management thinkers" on E-Business and Digital Strategies including Ivy League business school deans and senior professors at institutions such as Dartmouth, Harvard, Wharton, and Yale whose contributions have significantly advanced real world business practices.
In 2006, his biographical reference was nominated and published for the first time in the Marquis Who's Who in Science & Engineering® for contributions to high-impact fundamental empirical statistical and quantitative modeling field study research guided by his pragmatic and applied focus as global Finance-IT-Risk Management Practitioner.
In 2005, he received the invitation from the Queen’s University in Canada to apply for their Fulbright-Queen University’s Visiting Research Chair in the Management of Knowledge-Based Enterprises. On that occasion, the Syracuse University Chancellor & President Dr. Nancy Cantor wrote a letter to him observing that:
"Receiving an invitation to compete for this prestigious position is very impressive and reflects the high quality of your scholarly work. I have also very much enjoyed reading about your many engagements in the larger global community. You have certainly embraced the spirit of serving the public good and illustrate how a university, as a source and generator of knowledge, can impact other countries and institutions. I congratulate on your hard work as both a scholar and a citizen of the world."
- Syracuse University Chancellor & President, 2005
In 2005, his applied thought leadership was profiled among world's leading knowledge management pioneers such as Tom Davenport, the scholar-practitioner-management consultant most renowned as the pioneer of global Business Process Reengineering and Knowledge Management global practices, by Emerald Publishing, UK, world's top management publishers.
In 2004, he was ranked among world’s pioneering contributors to knowledge management such as 'the man who invented Management' Peter Drucker and Nobel laureate Herbert Simon based on a study by an IBM scientist published in a research monograph of the American Society for Information Science & Technology. *
In 2004, he was invited to serve on the Knowledge Management Magazine (UK) International Advisory Board among others such as the Knowledge and Innovation Management expert Dorothy A. Leonard, William J. Abernathy Professor of Business Administration, Harvard Business School.
In 2003, he was ranked among world's most influential experts on knowledge management such as economist Joseph Schumpeter and information scientist Herbert Simon in the University of Minnesota MIS Research Center scientific impact study. **
In 2003, he delivered the invited expert paper and keynote on the Measurement of Knowledge Assets at the United Nations World Headquarters at the invitation of United Nations Department of Economic and Social Affairs. Of four global experts, two on the expert panel are from U.S. university research academia, the other member from university research academia being a distinguished economist and endowed chair professor at the Northwestern University. The IT Economist Paul A. Strassmann, acting CIO at NASA characterized Yogesh Malhotra's expert paper written at the invitation of the UN for presentation at this seminal event as "a critical and definitive examination of KM measurement."
In 2002, his biographical reference was nominated and published for the first time in the Marquis Who's Who in America® for applied contributions to advancing global Finance-IT-Risk Management practices.
In 2002, CNET Networks awarded the Corporate Computing Award for his article 'Why Knowledge Management Systems Fail' with its focus on risk management of systemic failures for being the most influential article.
In 2001, his biographical reference was nominated and published for the first time in the Marquis Who's Who in Finance & Industry® for applied contributions to advancing global Finance-IT-Risk Management practices.
In 2001, at the invitation of the Intel Corporation, he wrote the expert paper on the Next Generation e-Business Architectures.
In 2000, he was ranked among world’s three most influential scholar-practitioners on Knowledge Management across all disciplines in the worldwide ISWorld survey published by the Drexel University, the top two ranked professors being Tom Davenport and Ikujiro Nonaka. *** He had just completed about two years out of the PhD program where he became interested in Knowledge Management as a doctoral research fellow and PhD candidate.
In 1999, his biographical reference was nominated and published for the first time in the Marquis Who's Who in the World® for applied contributions to advancing global Finance-IT-Risk Management practices.
In 1998, while in final year of his Ph.D., he was invited among Herbert Simon and Ikujiro Nonaka by the administrator of Malcolm Baldrige National Quality Program Awards, American Society for Quality, as contributor to Knowledge Management journal special issue of the Journal for Quality and Participation. He was also invited by a representative of Harvard Business School Publishing to head the flagship digital corporate executive business publication to be launched as counterpart of Harvard Business Review journal as its top editor with office in New York City or Boston.
In 1997, his Finance-IT-Risk Management technology venture was exclusively selected for the Computerworld Annual Forecast Best Site Award. The same technology venture was subsequently reviewed by Information Week as a "benchmark for practice".
In 1996, the digital Risk Management research Web site developed as a hobby while a PhD student and submitted as a last minute entry was selected in the world's top three search engines ranked right between the top two Web search engines of that time, Lycos and Alta Vista in the Best Research Site category of the Industry.Net Online Achievement Awards.
Around 1994: Just with the advent of the first WWW browser, Finance-IT-Risk Management Practitioner Yogesh Malhotra's digital social enterprise about rethinking the Future of Finance-IT-Risk Management Practices took shape on the WWW. For its cutting-edge view of global Finance-IT-Risk Management Practices and their projected 'future' evolution in the business world, this ad hoc digital enterprise started getting reviewed in almost every top-tier Finance-IT-Risk Management trade publication. Its leading-edge content was 'borrowed' with due credit by leading-edge global institutions such as the Harvard Business School MBA program for advancing global management practices. To teach Harvard MBAs, professors at Harvard were using the cutting-edge applied knowledge of Finance-IT-Risk Management practices generated by the global Finance & Banking software engineer and management consultant turned PhD student who had just joined the PhD program one year ago.
* Reference: Ponzi, Leonard J. (IBM), Knowledge Management: Birth of a Discipline. In Michael E.D. Koenig & T. Kanti Srikantaiah (Eds.), Knowledge Management Lessons Learned: What Works and What Doesn't, (American Society for Information Science and Technology Monograph Series), 9-26, 2004.
** Reference: Subramani, M. and Nerur, S.P., 'Examining the Intellectual Structure of Knowledge Management, 1990-2002: An Author Co-citation Analysis.' University of Minnesota Management Information Systems Research Center Study. MISRC Working Paper #03-23, 2003.
*** Reference: Overmyer, Scott P., Survey about the most influential scholars-practitioners in Knowledge Management, ISWorld, 2000.
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 40 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
• 40 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
2015-2017: 40 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:
Computational Quant Analytics; AI & Decision Modeling; Algorithms & Machine Learning:
SSRN Top-10 Research Ranking Categories:
• Capital Markets,
• Cognition in Mathematics, Science, & Technology,
• Computational Biology,
• Computational Techniques,
• Corporate Governance: Disclosure, Internal Control, & Risk-Management,
• Decision-Making under Risk & Uncertainty,
• Econometric & Statistical Methods,
• Econometric Modeling,
• Hedging & Derivatives,
• Information Systems & Economics,
• Mathematical Methods & Programming,
• Operations Research,
• Risk Management,
• Risk Management Controls,
• Risk Modeling,
• Stochastic Models,
• Systemic Risk,
• Uncertainty & Risk Modeling,
• VaR Value-at-Risk.
• Banking & Insurance
• Cultural Anthropology,
• Economics of Networks,
• Innovation Law & Policy,
• Mutual Funds, Hedge Funds, & Investment Industry,
• Sociology of Innovation