Artificial Intelligence In Finance Institute

NEW YORK CITY / MARCH 5 – JUNE 11 2019Artificial Intelligence in Finance Institutewww.aifinanceinstitute.com

NEW YORK CITY / MARCH 5 – JUNE 11 2019

MissionThe Artificial Intelligence Finance Institute’s (AIFI) mission is to be theworld’s leading educator in the application of artificial intelligence toinvestment management, capital markets and risk. We offer one of theindustry’s most comprehensive and in-depth educational programs,geared towards investment professionals seeking to understand andimplement cutting edge AI techniques.Taught by a diverse staff of world leading academics and practitioners,the AIFI courses teach both the theory and practical implementationof artificial intelligence and machine learning tools in investmentmanagement. As part of the program, students will learn themathematical and statistical theories behind modern quantitativeartificial intelligence modeling. Our goal is to train investmentprofessionals in how to use the new wave of computer driven tools andtechniques that are rapidly transforming investment management, riskmanagement and capital marketswww.aifinanceinstitute.com1

The FacultyMiquel Noguer i Alonso PhD – Co-Founder & Chief Science OfficerMiquel Noguer is a financial markets practitioner with more than 20 years ofexperience in asset management, he is currently Head of Development at GlobalAI ( Big Data Artificial Intelligence in Finance company ) and Head on Innovation andTechnology at IEF.He worked for UBS AG (Switzerland) as Executive Director for the last 10 years. Heworked as a Chief Investment Office and CIO for Andbank from 2000 to 2006.He is professor of Big Data in Finance at ESADE and Adjunct Professor at ColumbiaUniversity teaching Asset Allocation, Big Data in Finance and Fintech. He receivedan MBA and a Degree in business administration and economics in ESADE in 1993.In 2010 he earned a PhD in quantitative finance with a Summa Cum Laude distinction(UNED – Madrid Spain).Michael Oliver Weinberg CFA – Co-Founder & Chief Executive OfficerMichael has 25 years of experience investing directly at the security level and indirectlyas an asset allocator in traditional and alternative assets. He is the Chief InvestmentOfficer, and a Senior Managing Director of MOV37 and Protégé Partners. His portfoliomanagement experience includes Soros Fund Management LLC, Credit Suisse FirstBoston, and Financial Risk Management (FRM). Michael is a published author andkeynote speaker at conferences and universities. He received an M.B.A. from ColumbiaBusiness School, where he is now also an Adjunct Professor of Finance and Economics,and a B.S. in Economics from New York University.2Artificial Intelligence in Finance Institute

George Lentzas – ProfessorGeorge is a statistics expert with a decade of experience in applying quantitativemodels in the real world. He has worked in various capacities at leading financialinstitutions, such as Morgan Stanley, BNP Paribas, Citigroup, and Hutchin Hill Capital.He has also held faculty positions at Columbia University and NYU, where he hastaught courses in machine learning and applied statistics and econometrics.His professional expertise includes the application of statistics, machine learning, andAI to finance and economics. He is currently the chief data scientist and manager ofSpringfield Capital Management. He holds a PhD, MPhil, and BA from Oxford Universityand an MPhil from Cambridge University.Igor Halperin – ProfessorIgor Halperin is Research Professor of Financial Machine Learning at NYU TandonSchool of Engineering. Previously, he was an Executive Director of QuantitativeResearch at JPMorgan, and before that he worked as a quantitative researcher atBloomberg LP. Igor has published articles in finance and physics journals, is a speakerat financial conferences and has co-authored the book “Credit Risk Frontiers.”Igor has a Ph.D. in theoretical high energy physics from Tel Aviv University, and a M.Sc.in nuclear physics from St. Petersburg State Technical University. He also advisesfintech and data science start-ups and risk management firms.www.aifinanceinstitute.com3

Josh Joseph – ProfessorJosh Joseph is the Chief Intelligence Architect of the Bridge, the application arm ofMIT’s Quest for Intelligence Initiative. Previously, Josh was the Chief Science Officer ofAlpha Features, an alternative data distribution platform, and co-founded a proprietarytrading company based on machine learning driven strategy discovery and fullyautonomous trading. Additionally, he has done a variety of consulting work acrossfinance, life sciences, and robotics. He has a Ph.D. in Aeronautics and Astronautics fromMIT where his research focused on methods for learning models of complex systemsfor decision making.Mickey Atwal – ProfessorMickey Atwal is an associate professor at Cold Spring Harbor Laboratory where heundertakes machine learning research and builds tools to analyze vast datasets incancer genomics and immunology. He was awarded the Winship Herr Award forExcellence in Teaching a record three times, developing courses at the interface ofmachine learning, molecular biology, and neuroscience. He has trained in theoreticalphysics from the University of Cambridge, Cornell University, and Princeton University.Larry Rudolph – ProfessorLarry Rudolph is a researcher at the MIT Computer Science and Artificial IntelligenceLaboratory. Larry received his PhD also in Computer Science in 1981 from the CourantInstitute at NYU. He was on the faculty at University of Toronto, Carnegie-MellonUniversity, and The Hebrew University, before joining MIT as a principal researchscientist, in 1995.Way back in 1978, he helped start the Ultracomputer, a high performance parallelcomputer architecture, many ideas of which can be found in current multi-corecomputer chips. VP (Member of Labs) at Two Sigma Investments.4Artificial Intelligence in Finance Institute

Gordon Ritter – Scientific AdvisorGordon Ritter completed his Ph.D. in mathematical physics at Harvard University in2007, where he published in top international journals. Prior to that he earned hisBachelor’s degree from the University of Chicago. Gordon is currently a senior portfoliomanager at GSA. Prior to joining GSA, Gordon was a Vice President of HighbridgeCapital Management and a core member of the firm’s statistical arbitrage group.Concurrently with his positions in industry, Gordon teaches at three of the nation’sleading MFE programs, including Baruch College and NYU. He has published articles,and is a speaker at the top industry conferences.Petter Kolm – Scientific Advisor & ProfessorPetter Kolm is a Clinical Professor and the Director of the Mathematics in FinanceMaster’s Program at Courant Institute of Mathematical Sciences, NYU. Previously,Petter worked in the Quantitative Strategies Group at Goldman Sachs AssetManagement. Petter has coauthored numerous academic articles and four books.He holds a Ph.D. in Mathematics from Yale, an M.Phil. in Applied Mathematics from theRoyal Institute of Technology, and an M.S. in Mathematics from ETH Zurich. Petter isalso on various Board of Directors, editorial and advisory boards.www.aifinanceinstitute.com7

Advisory BoardJeannette M. WingJeannette M. Wing is Avanessians Director of the Data Science Institute and a Professor Columbia University.From 2013 to 2017, she was at Microsoft Research. She is Consulting Professor of Computer Science atCarnegieMellon. From 2007-2010 she was the Assistant Director of the Computer and Information Science andEngineering Directorate at the NSF. She received her S.B., S.M., and Ph.D. degrees in Computer Science, from theMassachusetts Institute of Technology. She has been chair and/or a member of many academic, government,and industry advisory boards and received various awards.Dr. Peter CarrDr. Peter Carr is the Chair of the Finance and Risk Engineering Department at NYU Tandon School of Engineering.He also presently serves as a trustee for the National Museum of Mathematics and WorldQuant University. Priorto joining the financial industry, Dr. Carr was a finance professor for 8 years at Cornell University, after obtaining hisPh.D. from UCLA in 1989. He has over 85 publications in academic and industry-oriented journals and serves as anassociate editor for 8 journals related to mathematical finance. He has won multiple prestigious Quant awards.Armando GonzalezArmando Gonzalez is President & CEO of RavenPack, the leading provider of big data analytics for financialinstitutions. Armando is an expert in applied big data and artificial intelligence technologies. His commentary andresearch has appeared in leading business publications such as the Wall Street Journal, Financial Times, amongmany others. Armando holds degrees in Economics and International Business Administration from the AmericanUniversity in Paris and is a recognized speaker at academic and business conferences across the globe.Hein Hundal, Ph.D.Hein Hundal, Ph.D. Is the chief scientist at Random Order, Inc. He was a quantitative analyst for D.E. Shaw. Heinwas a Principal Engineer for Raytheon and an Associate Research Engineer at the Pennsylvania State University(PSU), where he taught mathematics and earned an Honors B.S. degree. He served five years in the U.S. Navy as aNuclear Engineer Officer and a Meteorology Division Officer. Hein has a Master’s Degree in Computer Science anda Ph.D. in Mathematics from Penn State. Dr. Hundal has more than 15 peer-reviewed publications in mathematicsjournals and holds two U.S. patents.Emily L. SprattEmily L. Spratt is an art historian, art technologist, and strategic advisor who has published extensively on thesubjects of visual culture, aesthetic theory, vision technology, and machine learning in the arts. Emily has a B.A.from Cornell, an M.A. from UCLA, and an M.A. from Princeton. Her doctorate at Princeton is on Byzantine andRenaissance art. Emily has taught in the Department of Art History at Rutgers and has been the recipient ofnumerous international fellowships and awards. She is a consultant and fellow at The Frick Collection and ArtReference Library.6Artificial Intelligence in Finance Institute

ProgrammeThe CurriculumThe course, globally offered online, expounds on the theory and implementation of artificial intelligence in finance.Students are expected to learn the mathematical and statistical theories behind modern quantitative artificial intelligencemodeling. The course will provide education on the theory and practical application of artificial intelligence in financethrough exposure to world leading practitioners and academics.StructureIdeal CandidatesArtificial Intelligence in InvestmentManagement Certificate⁰ Quantitative Analysts⁰ Computer Scientists⁰ Risk Managers⁰ Traders⁰ Portfolio Managers⁰ Investment Managers⁰ Data scientists3 months program: March 5 – June 11 2019.Lectures: New York City and globally offered online.Tuesday and Thursday. 6.00 – 9.00pm.75 hours: Lectures Practice Speakers.Evaluation: Exam Project.Course Fee: 9,500We will give a Python Refresher and MathematicsRefresher/Primer at the beginning of the course.Apply online: ceinstitute.com7