World Leading Hi-Tech Research Defining World Leading Computational, Quant & Cyber Risk Analytics Practices
Global Risk Management Network, LLC, 757 Warren Rd, Cornell Business & Technology Park, Ithaca, NY 14852-4892
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Dr. Yogesh Malhotra
PhD,MSQF,MSCS,MSNCS,MSAcc,MBAEco,
BE,CEng,CISSP,CISA,CEH,CCP/CDP
Who's Who in America®,
Who's Who in the World®,
Who's Who in Finance & Industry®,
Who's Who in Science & Engineering®

E-mail: Dr.Yogesh.Malhotra[at]gmail.com

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E-mail - LinkedIn

  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.

AACSBAACSB logo

  
Wall Street Journal
  
Risk Management Tech Ventures leading Computational Quantitative Analytics, Machine Learning, Data Science, Quantitative Finance, & Cybersecurity Practices.
Worldwide Business and IT Editorial Coverage & Interviews in Wall Street Journal, New York Times, Fortune, Fast Company, Forbes, Business Week, CIO, CIO Insight, Computerworld, Information Week, etc.
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[Computational Quant Risk Analytics] [Cyber Security Risk Engineering] [Algorithms & Machine Learning] [Risk Analytics Ventures] [Worldwide Impact on Practices]
Dr. Yogesh Malhotra: LinkedIn: Risk Analytics Beyond 'Prediction' to 'Anticipation of Risk': Princeton University Presentations on FinTech CyberFinance
Who's Who in America®, Who's Who in the World®, Who's Who in Finance & Industry®, Who's Who in Science & Engineering®
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

EXECUTIVE SUMMARY
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Top-10 IT-Statistics Double Doctorate Quant MIS PhD Computer Scientist-Chartered Engineer with Wall Street investment banks with $1 Trillion AUM such as JP Morgan. Founded Computational Quant Risk Analytics ventures with CxO clients such as Goldman Sachs, Google, Harvard, IBM, Intel, Microsoft, MIT. Research impact among Finance & IT Nobel Laureates in AACSB & scientific impact studies.

Invited Post-Doc Computational Quant Risk Analytics Research presented at 2016 & 2015 Princeton Quant Trading Conferences sponsored by Princeton University. Research advancing Cyber Risk Insurance Modeling beyond VaR and New York State Cybersecurity.

Computational Quant Finance-Risk Analytics projects leader with Wall Street investment banks with $1 Trillion AUM such as JP Morgan: Quantitative Finance, Liquidity Risk, Market Risk, Credit Risk, Financial Econometrics, Financial Programming, Large-Scale Data Modeling, Interest Rate Derivatives, Fixed Income & Equity Portfolio Modeling with SAS, MATLAB, C++, MS-Excel, VBA, Bloomberg.

Founded Computational Quant Risk Analytics ventures with CxO patrons-clients such as Goldman Sachs while in Quant Risk-Mathematical Modeling academia. Global Financial Systems Software Engineer with Big Banks such as Bank of America across USA, Hong Kong, India.

Advisor to $100 Billion hi-tech firms such as Intel, Silicon Valley VCs-CEOs, US & World Governments, UN, NSF.

Post-Doctoral Quant Presentations at Princeton University:
Quantitative Finance, Cybersecurity, Computer Science, Machine Learning
-Extreme Risks Model Risk Management & Cyber Risk Insurance Modeling.

Carnegie Mellon University & Kellogg School of Management Invited Executive Education Faculty.

Professor: STEM-Computer Science-MIS-IT-Operations Research MBA/EMBA:
STEM Computer Science: Cybersecurity, IT, MIS, Programming, Data Science, Machine Learning.
MIS-Quant Methods: Quant Risk Modeling-Mathematical Financial Modeling,
IT & OR MIS & Supply Chain Management MBA, MIS EMBA.


EXECUTIVE PROFILE
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• Executive Director & Chief Scientist, Computational Quant-Risk Analytics & Digital Transformation Ventures:
Clients: JPMorgan, Goldman Sachs, Google, Harvard, HP, IBM, Intel, Microsoft, NSF, MIT, UN, etc.

• 2015-2016: 2016 & 2015 Post-Doc Princeton Quant Trading Presentations: Computational Quant Analytics & Machine Learning, Algorithms, AI & Modeling
2016 New York State Cyber Security Conference Presentation: 'Future of Cyber-Finance'
2016 Fintech-Algorithms Research: Government of Switzerland: Transformation of Finance.

• 2015-2016: 39 SSRN Top-10 Research Rankings: Computational Quant Analytics & Machine Learning, Algorithms, AI & Modeling.
- SSRN Top-10 Ranking Categories (2015-2016):
Capital Markets, Computational Techniques, Corporate Governance, Cyberlaw, Decision-Making under Risk & Uncertainty, Econometric & Statistical Methods, Econometric Modeling, Econometrics, Hedging & Derivatives, Information Systems & Economics, Mathematical Methods & Programming, Microeconomics, Operations Research, Risk Management, Risk Management Controls, Risk Modeling, Stochastic Models, Systemic Risk, Uncertainty & Risk Modeling, and, VaR Value-at-Risk.

•Pioneering Cyber Risk Insurance Modeling Research beyond VaR leading worldwide Mathematical Finance & Actuarial Science Insurance Practices.

• Advisor to JP Morgan Global Head of Quant Research & Analytics-US Head of Portfolio Management & his team of Managing Directors & Portfolio Managers.

• Research Committee: Chief Scientist & Senior Scientists affiliated with Air Force Research Lab & New York State Cyber Research Institute, SUNY.

• Chief Information Security Officer (CISO)-Level Cyber Security & Risk Management Leader, IT & Networks Administration, State of New York.

• Chief Research Scientist, Quantitative Finance & Risk Modeling:
Wall Street Investment Banks with $1 Trillion AUM: Midtown Manhattan, New York City:

• Project Leader, JP Morgan Portfolio Liquidity Risk Modeling Framework,
• Project Leader, JP Morgan Portfolio Optimization & VaR Stress Testing,
• Project Leader, Wall Street Hedge Funds High Frequency Econometrics.
• Global CxO IT-KM & Risk Management Consulting Practices: USA, N. America, Europe, Asia:
• Intel Corp., British Telecom (UK), Philips (Netherlands), Big-4 Consulting Managing Partners,
• Government of Mexico: National Cabinet: Parliament Ministers, 13 CIOs & 600 IT Leaders - Mexico City,
• Government of Netherlands: National Cabinet: Parliament Ministers,
• National Vision Korea Campaign: 400 National Industry, Government & Policy Leaders - Seoul, South Korea.
• National TV Interview and Newspaper Interview: Maeil Business TV & Newspaper - Seoul, South Korea.
• Global Banking Financial Systems Engineer & Projects Leader: Big-3 IT & Big-3 Finance Firms:
• Bank of America merger, Las Vegas, NV
• Wells Fargo (formerly Davenport Bank & Trust), Davenport, IA
• Crédit Agricole CIB (formerly Banque Indo-Suez), Hong Kong
• Big-3 IT (Unisys, formerly Burroughs), Atlanta, Norcross, GA
• TATA Group, India (Mumbai, Delhi)
• 20+ year PhD & Post-PhD experience in Statistics, Probability, Econometrics, Quantitative Finance, Operations Research, Computer Science, Cyber Security, Cryptography, Encryption models & algorithms including Multivariate Regression Models, Structural Equation Models, VaR, ES, EVT, ARCH/GARCH, Machine Learning, Data Mining, Bayesian Inference, Markov Chain Monte Carlo Models, Bayesian Networks.

• 20+ year PhD & Post-PhD experience in data analysis tools, data sources, analysis queries and procedures applied using SPSS, SAS, MATLAB, AMOS, PLS, LISREL, C++, MS-Excel, VBA, Bloomberg, etc.

• Besides direct world-level (United Nations), country-level (Parliaments and Cabinets), and, corporate-level (Fortune 500 CEO, CIO, and CxO) management advisory leaderships, management experience in innovations leadership, projects leadership, and, teams leadership at world's largest Engineering, Banking & Finance, and, IT firms having successfully developed and led small and large teams in addition to virtual and matrix leadership roles includes:
• Developing and leading the world's largest virtual global community of Digital Transformation and Knowledge Management professionals ranked in the Top-10 social networks among others such as LinkedIn,
• Developing and leading a global virtual team of 200 worldwide PhDs to develop and disseminate industry leading Digital Transformation and Knowledge Management research, and,
• Leading, mentoring, guiding, and, assessing four-hundred project teams of two thousand participants in Executive, MBA, and undergraduate programs of top Business schools.
• More than 100 Computational Quantitative Statistical & Structural Model Validation Reviews in Editorial and Referee/Reviewer roles for top-tier academic, applied, and empirical research journals in Computer Science, Econometrics, Information Technology, and Operations Research.

•Received Best Reviewer Award from Academy of Management for Quantitative Statistical & Structural Model Validation Review of paper selected for Best Paper Award. Invited to serve in Editorial and Referee/Reviewer roles by 40+ world-class publications including ACM, IBM, IEEE, Cambridge University Press, Harvard Business Publishing, Journal of Defense Modeling & Simulation (Cybersecurity, STIX, TAXII, Markov Chain Monte Carlo Models, Bayesian Networks).

• 19-year Post-PhD Digital Transformation, Knowledge Management, Model Risk Management, Cyber Risk Management and, Computational Quant Risk Analytics Research: recognized as 'exemplar of 'considerable impact on actual practice' among others such as Black-Scholes in AACSB International Impact of Research Report, and, ranked among Finance and IT Nobel Laureates in most high-profile scientific and industry surveys and reports.

• Real world impact of scientific and applied research evident in
• Global Cyber Risk Insurance Actuarial and Analytical frameworks and models beyond Value-at-Risk (VaR),
• Quantitative Finance and Quantitative Trading innovations such as Model Risk Arbitrage and Black Hat Finance,
• US Federal Reserve & OCC Model Risk Management guidance SR11-7 & OCC 2011-12 execution,
• Global, National, and, State of New York Cybersecurity, Risk Management, and, National Information Infrastructures,
• Best-Selling Books on IT Innovation by worldwide corporate leaders such as Microsoft founder Bill Gates,
• Digital Transformation and Knowledge Management press interviews such as Fast Company interview of PwC CKO,
• IT, BPR, and Knowledge Management Curriculum innovations of programs such as Harvard Business School MBA program,
• National offense and defense policies of agencies such as U.S. Air Force, Army, and Navy CIOs and U.S. Department of Defense, and,
• Global impact on Digital Transformation and Knowledge Management practices of governments, corporations, associations, and institutions.
• Invited Executive Education Faculty and Research Keynotes & Lectures:
• Carnegie Mellon University,
• Kellogg School of Management,
• INSEAD (France),
• Queen's University (Canada).
• Quant Risk & Mathematical Modeling IT/OR MBA MIS Faculty:
Syracuse University Associate Professor MIS (Promoted) & Assistant Professor of Quantitative Methods.

• STEM Computer Science-Cyber Security-Advanced Analytics Professor, Machine Learning-Algorithms Evangelist,
State of New York Cybersecurity Program:
CompTiA Security+ Network Security Pen Testing & Ethical Hacking Instructor of Network Administrators.

• Worldwide Coverage of Finance-IT-Risk Ventures as Industry Benchmarks: Wall Street Journal, New York Times, Los Angeles Times, Fortune, Forbes, Inc., Business Week, Harvard Business Publishing, San Jose Mercury News, Computerworld, Information Week, CIO Magazine, CIO Insight, etc.

• Invited interviews by worldwide Business & Technology media including Wall Street Journal, Inc., Fortune, CIO Enterprise, CIO Insight, Information Week, Government Executive, Government Technology, Federal Computer Week, Business Standard (India), Maeil Business (South Korea), etc.

•Selected for inclusion in Marquis Who's Who® biographical profiles of worldwide leaders and achievers from U.S.A. and around the world in:

• Marquis Who's Who in America®, Since 2002.
• Marquis Who's Who in the World®, Since 1999.
• Marquis Who's Who in Finance & Industry®, Since 2001.
• Marquis Who's Who in Science & Engineering®, Since 2006.

Post-Doctoral & Doctoral Education & Research

Independent Post-Doctoral Research: Invited Quant Presentations at Princeton University.
Quantitative Finance, Computer Science, Cybersecurity, Machine Learning, Algorithms, AI & Modeling
Quantitative Finance Post-Doctoral Research invited for presentations at Princeton University:
Post-Doctoral Research invited for presentations at Princeton University (2015 & 2016)
• Post-Doc Thesis (2015): Quant Finance, Computer Science, Cybersecurity, Machine Learning.
- Leading Mathematical Finance & Actuarial Science Cybersecurity Insurance Practices.
• 4 Computational Quant Analytics MS Degrees
- derived from courses amounting to twice the credits of prior double-doctorate Quant MIS PhD:
• Top-14 MS Quant Finance (MSQF: Applied Math),
• MS Computer Science/Algorithms/AI-Modeling (MSCS),
• MS Network & Computer Security/Machine Learning (MSNCS), &
• MS Accountancy (MSAcc).
R&D Leaderships with Global & National Impact
• Pioneering Cyber Risk Insurance Industry Research:
Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR):
Risk, Uncertainty & Profit for the Cyber Era: Knight Reconsidered.

• 2015 & 2016 Princeton Quant Trading Conference invited Presentations.
- Sponsors: Princeton University, Goldman Sachs, Citadel, KCG Holdings, SIG.
• 39 SSRN Top-10 Rankings: Computational Quant Risk Analytics, Machine Learning, Computational Statistical Algorithms, AI & Modeling, Model Risk Arbitrage, Quant Finance, Computer Science, Cybersecurity, Bayesian Inference, Markov Chain Monte Carlo Models.
• Advisor to JP Morgan Global Head of Quant Research & Analytics-US Head of Portfolio Management & his team of Managing Directors & Portfolio Managers.
• Research Committee: Chief Scientist & Senior Scientists affiliated with Air Force Research Lab & New York State Cyber Research Institute, SUNY.
• Admission Offers from: Top-10 PhD Programs: Economics & Accountancy.

Top-10 Quant MIS PhD IT-Statistics Double Doctorate, Katz Graduate School of Business.
Top 10 MIS PhD (MISQ), Full Scholarship & Research Fellowship with MIS & IT Strategy Pioneer.
Double Doctorate IT-Statistics: Quant Risk & Controls Modeling; 91 Cr for 45 Cr Requirement.
GPA 3.9/4.0, 91 Cr, Quant Methods QPA 3.96/4.0, Beta Gamma Sigma Honors
• Double Doctorate: 91 Cr completed for a 45 Cr PhD Requirement.
• Invited for Research Fellowship by Top-10 Founder of MIS & IT Strategy Pioneer, William R. King.
• Thesis: Quantitative Risk Management & Controls Models, Longitudinal Multivariate Regression Models of:
• UPMC Digital Transformation and Analytics Digitization & Computerization:
PI & Advisor to UPMC CIO's Office and EMR/EHR Pioneer MDs and Top Physician Leadership.
R&D Leaderships with Global & National Impact

• PhD Thesis Quantitative Models adopted-applied by NASA & Big Banks.
• Pioneered US National Information Infrastructure research
- Adopted-applied by global organizations: e.g. UN, Stanford University.
• Netherlands National Digital Transformation Advisor: National Government-Cabinet.
Founder: Computerworld Top Digital Site, Top-3 Search Engine, Top-10 Social Network
- Entrepreneurial Developer/Programmer on F/T Top-10 PhD Research Fellowship.
• Top Digital Transformation Site (Best Web Site Award, Computerworld).
- Licensed official content to Harvard Business School MBA.
• Top-3 Search Engine (Carnegie Mellon Industry.Net National Awards: USA).
• Top-10 Social Network (Global Rankings among others such as LinkedIn).
• Received IPO & M&A offers from US Venture Capital & Multi-Billion $ IT firms.
• Harvard Business Review: Invited to lead Digital Transformation of HBR by Harvard Business Publishing of Harvard University.


Sample of worldwide clients, patrons & subscribers:

FinTech: Wall Street & IT: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo
Consulting Firms
: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers
Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton
Associations
: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS
World Governments: Australia, Canada, European Union, United Kingdom, United States
U.S. Defense
: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, Marines, NASA, Navy
World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)
World Health: World Health Organization (WHO), U.S. Department of Health & Human Services,
European Health Management Association, U.K. Department of Health, UNESCO, UNDP
Larger Sample

As Seen in

British Telecom UK Cisco Systems IBM Intel Corp. Microsoft

U.S. DoD DISA US Air Force Royal Australian Air Force Government of UK, Ministry of Defence Canadian Department of National Defence

Harvard Business School Stanford Graduate School of Business Wharton School Princeton University UC Berkeley Haas School of Business

MIT Sloan School of Management MIT PressHarvard UniversityStanford School of Medicine

Stanford UniversityMIT 50 K Entrepreneurship CompetitionMIT LibrariesYale Law Journal NASA

Fortune Inc. Business WeekNew York TimesWall Street Journal

Forbes Fast CompanyHarvard Business Press Publishing Computer World Information Week InfoWorld CIO Magazine

ForbesBusiness Week San Jose Mercury NewsInfoWorld American Institute of Certified Public Accountants (AICPA) AACSB International

ACM IEEE AACSB International American Society for Training and Development American Bar Association

And Elsewhere...

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