World Business StrategiesServing the Global Financial Community since 2000

World-Renowned Speaker List

The presenters at the QFC are hand picked to offer you the best learning experience and discuss the latest cutting edge quant research.

Vladimir Piterbarg:

MD, Head of Quantitative Analytics and Quantitative Development, NatWest Markets

Vladimir Piterbarg: MD, Head of Quantitative Analytics and Quantitative Development at NatWest Markets

Milena Imamovic-Tomasovic:

Global Head of Product Valuation Methodologies and VCG Digital, Citi

Milena Imamovic-Tomasovic: Global Head of Product Valuation Methodologies and VCG Digital, Citi

Milena Imamovic-Tomasovic is a quantitative finance professional with over fifteen years of experience in banking. Her current role is Global Head of product valuation Methodologies and VCG Digital in Citi. Prior to that, she was Head of Business-Aligned Valuation Methodology within Global Valuation Group team and Head of CVA and Funding Methodology within GVG Methodology in Deutsche Bank. Before that Head of Analytics, EMEA at HSBC where she headed a cross-asset Valuation Control quant team. Before joining HSBC, Milena worked at TD Securities as a model validation and subsequently front office equity quant. She holds a Ph.D in theoretical physics from the University of Toronto.

Ioana Boier:

Independent

Ioana Boier: Independent

I have a Ph.D. in Computer Science from Purdue University. In addition, I have completed graduate coursework in Financial Mathematics at NYU and Big Data at Harvard University. Prior to joining Citadel, I was a Director in the Global Markets Division at BNP Paribas where I managed the Interest Rate Options & Inflation quantitative research team. Before transitioning into Finance, I was a research staff member at the IBM T. J. Watson Research Center.

Antoine Savine:

Chief Quantitative Analyst, Danske Bank

Antoine Savine: Chief Quantitative Analyst, Danske Bank

Antoine Savine has worked for various Investment Banks since 1995, along Bruno Dupire, Leif Andersen and Marek Musiela. He was Global Head of Quantitative Research for Fixed Income, Currency and Credit Derivatives for BNP-Paribas 1999-2009, and currently works in Copenhagen for Danske Bank, where his work with Jesper Andreasen earned the In-House System of the Year 2015 Risk Award. His upcoming publications in Wiley’s Computational Finance series are dedicated to teaching the technologies implemented in those award-winning systems.

Antoine also teaches Volatility Modeling and Numerical Finance in the University of Copenhagen’s Masters of Science in Mathematics-Economics. The curriculum for his Numerical Finance lectures is being published by Wiley under the name “AAD and Parallel Simulations”.

Antoine holds a Masters from the University of Paris (Jussieu) and a PhD from the University of Copenhagen, both in Mathematics.

Jesper Andreasen: 

Kwant Daddy! Global Head of Quantitative Research, Saxo Bank

Jesper Andreasen (Kwant Daddy): Global Head Of Quantitative Research, Saxo Bank  

Jesper Andreasen is head of Quantitative Research at Saxo Bank in Copenhagen. Jesper has previously held senior positions in the quantitative research departments of Danske Bank, Bank of America, Nordea, and General Re Financial Products. Jesper’s recent research focusses on efficient and accurate methods for computing credit and market risk. Jesper holds a PhD in mathematical finance from Aarhus University, Denmark. He received Risk Magazine’s Quant of the Year awards in 2001 and 2012, joint with Leif Andersen and Brian Huge respectively, and is an honorary professor of mathematical finance at Copenhagen University.

Alexander Sokol:

Executive Chairman and Head of Quant Research, CompatibL

Alexander Sokol: Executive Chairman and Head of Quant Research, CompatibL

Alexander Sokol is the founder, Executive Chairman, and Head of Quant Research at CompatibL, a trading and risk technology company. He is also the co-founder of Numerix, where he served as CTO from 1996 to 2003, and the co-founder of Duality Group, where he served as CTO from 2017 to 2020.

Alexander won the Quant of the Year Award in 2018 together with Leif Andersen and Michael Pykhtin, for their joint work revealing the true scale of the settlement gap risk that remains even in the presence of initial margin. Alexander’s other notable research contributions include systemic wrong-way risk (with Michael Pykhtin, Risk Magazine), joint measure models, and the local price of risk (with John Hull and Alan White, Risk Magazine), and mean reversion skew (Risk Books, 2014).

Alexander earned his BA from the Moscow Institute of Physics and Technology at the age of 18, and a PhD from the L. D. Landau Institute for Theoretical Physics at the age of 22. He was the winner of the USSR Academy of Sciences Medal for Best Student Research of the Year in 1988.

Christoph Burgard:

Head of Risk Analytics For Global Markets, Bank of America Merrill Lynch

Christoph Burgard: Head of Risk Analytics For Global Markets, Bank of America Merrill Lynch

Christoph Burgard heads the Risk Analytics team for Global Markets at Bank of America Merrill Lynch, which he joined in November 2015. Prior to this he spent 16 years at Barclays, where he was leading the Equity Derivatives and XVA front office Quantitative Analytics teams for the investment bank as well as the ALM modelling area for the bank’s treasury department. Christoph was named Risk Magazine’s Quant of the Year 2015 for his pioneering work on FVA. He has a PhD in Particle Physics from Hamburg University and was a research fellow at CERN and DESY.

Brian Norsk Huge:

Senior Specialist Quant, Saxo Bank

Brian Norsk Huge: Senior Specialist Quant, Saxo Bank

Blanka Horvath:

Technical University of Munich and The Munich Data Science Institute

Blanka Horvath: Technical University of Munich and The Munich Data Science Institute

Blanka research interests are in the area of Stochastic Analysis and Mathematical Finance.

Including asymptotic and numerical methods for option pricing, smile asymptotics for local- and stochastic volatility models (the SABR model and fractional volatility models in particular), Laplace methods on Wiener space and heat kernel expansions.

Blanka completed her PhD in Financial Mathematics at ETHZürich with Josef Teichmann and Johannes Muhle-Karbe. She holds a Diploma in Mathematics from the University of Bonn and an MSc in Economics from the University of Hong Kong.

Alexandre Antonov:

Chief Analyst, Danske Bank

Alexandre Antonov: Chief Analyst, Danske Bank

Alexandre Antonov received his PhD degree from the Landau Institute for Theoretical Physics in 1997. He worked for Numerix during 1998-2017 and recently he has joined Danske Bank as the Chief Analyst in Copenhagen.

His activity is concentrated on modeling and numerical methods for interest rates, cross currency, hybrid, credit and CVA/FVA/MVA. AA is a published author for multiple publications in mathematical finance and a frequent speaker at financial conferences.

He has received a Quant of Year Award of Risk magazine in 2016.

Artur Sepp:

Head Systematic Solutions and Portfolio Construction, Sygnum Bank

Artur Sepp: Head Systematic Solutions and Portfolio Construction, Sygnum Bank

Artur Sepp is Head Systematic Solutions and Portfolio Construction at Sygnum Bank’s Asset Management in Zurich, specializing in crypto assets and decentralized finance. Prior, Artur led quantitative research at a systematic hedge fund (Quantica Capital) focusing on data-driven investment strategies and asset allocation in global managed futures. In previous roles, Artur worked as front office Quant Strategist on the implementation of systematic solutions in private banking (Julius Baer), and on the full-cycle development of quantitative solutions and derivatives in investment banking (Merrill Lynch/BofA).

Artur is dedicated to connecting financial applications with science and technology. His expertise covers quantitative investing and asset allocation, modeling of financial markets and instruments, statistical and Machine Learning methods, modern computational and programming tools. His 14 years professional experience includes performing in leading roles at top quant teams in New-York, London, and Zurich.

Artur has a PhD in Mathematical Statistics from University of Tartu, an MSc in Industrial Engineering and Management Sciences from Northwestern University, and a BA cum laude in Mathematical Economics from Tallinn University of Technology. He is the author and co-author of several research articles on quantitative finance published in key journals. Artur is known for contributions to stochastic volatility and credit risk modelling with an H-index of 16. He is a member of the editorial board of the Journal of Computational Finance. Artur loves martial arts, water, and mountain sports.

Katia Babbar:

University of Oxford, Academic Visitor & QuantBright Consultant

Katia Babbar: University of Oxford, Academic Visitor & QuantBright Consultant

Youssef Elouerkhaoui:

Managing Director, Global Head of Credit and Commodities Quantitative Analysis, Citi

Youssef Elouerkhaoui: Managing Director, Global Head of Credit and Commodities Quantitative Analysis, Citi

Youssed Elouerkhaoui is the global Head of Credit Quantitive Analysis at Citi. His group supports all aspects of modelling and product development across desks, thais includes: Flow Credit Trading, Correlation Trading, CDOs, Exotics and Emering Markets.

He also supports CVA, Funding and Regulatory Capital for Credit Markets. Prior to this, he was a Director in the Fixed Income Derivatives Quantitative Research Group at UBS, where he was in charge of developing and implementing models for the Structured Credit Desk. Before joining UBS, Youssef was a Quantitative Research Analyst at Credit Lyonnais supporting the Interest Rates Exotics business. He has also worked as a Senior Consultant in the Risk Analytics and Research Group at Ernst & Young. He is a graduate of Ecole Centrale Paris and he holds a PhD in Mathematics from Paris-Dauphine University.

Alexei Kondratyev:

Quantitative Research & Development Lead, ADIA

Alexei Kondratyev: Quantitative Research & Development Lead, ADIA

Alexei Kondratyev is Quantitative Research and Development Lead at Abu Dhabi Investment Authority (ADIA). Prior to joining ADIA in July 2021, he held quantitative research and data analytics positions at Standard Chartered, Barclays Capital and Dresdner Bank. Alexei holds MSc in Theoretical Physics from Taras Shevchenko National University of Kiev and PhD in Mathematical Physics from the Institute for Mathematics, National Academy of Sciences of Ukraine. He was the recipient of 2019 Risk magazine Quant of the Year award.

Michael Pykhtin:

Manager, Quantitative Risk, U.S. Federal Reserve Board

Michael Pykhtin: Manager, Quantitative Risk, U.S. Federal Reserve Board

Michael Pykhtin is a manager in the Quantitative Risk section at the U.S. Federal Reserve Board. Prior to joining the Board in 2009 as a senior economist, he had a successful nine-year career as a quantitative researcher at Bank of America and KeyCorp. Michael has edited “Counterparty Risk Management” (Risk Books, 2014) and “Counterparty Credit Risk Modelling” (Risk Books, 2005). He is also a contributing author to several recent edited collections. Michael has published extensively in the leading industry journals; he has been an Associate Editor of the Journal of Credit Risk since 2007. Michael is a two-time recipient of Risk Magazine’s Quant of the Year award (for 2014 and 2018). Michael holds a Ph.D. degree in Physics from the University of Pennsylvania and an M.S. degree in Physics and Applied Mathematics from Moscow Institute of Physics and Technology.

Jon Gregory: 

Independent xVA Expert

Jon Gregory: Independent xVA Expert 

DR JON GREGORY is an independent expert specialising in counterparty risk and xVA related projects. He has worked on many aspects of credit risk in his career, being previously with Barclays Capital, BNP Paribas and Citigroup. He is a senior advisor for Solum Financial Derivatives Advisory and a faculty member for the Certificate of Quantitative Finance (CQF). He also serves on the Academic Advisory Board of IHS Markit and is a Managing Editor of the journal Quantitative Finance.

In addition to publishing papers on the pricing of credit risk and related topics, Jon is author of the book “Counterparty Credit Risk The New Challenge for the Global Financial Markets” published by Wiley Finance in December 2009 (now in its third edition) and “Central Counterparties: Mandatory Central Clearing and Bilateral Margin Requirements for OTC Derivatives.”

Jon has a PhD from Cambridge University.

Petter Kolm:

Clinical Full Professor and Director, Courant Institute of Mathematical Sciences, NYU

Petter Kolm: Clinical Full Professor and Director of the M.S. in Mathematics in Finance Program, Courant Institute of Mathematical Sciences, New York University & Partner, CorePoint-Partners.com

Petter Kolm is Clinical Full Professor and Director of the M.S. in Mathematics in Finance Program at the Courant Institute of Mathematical Sciences, New York University, since 2007. He is also Partner at CorePoint-Partners.com. Previously, Petter worked in the Quantitative Strategies group at Goldman Sachs Asset Management, developing proprietary investment strategies, portfolio and risk analytics in equities, fixed income and commodities.

Petter is the co-author of numerous academic journal articles and several well-known finance books including, ​Financial Modeling of the Equity Market: From CAPM to Cointegration​ (Wiley, 2006); ​Trends in Quantitative Finance (CFA Research Institute, 2006); Robust Portfolio Management and Optimization​ (Wiley, 2007); and ​Quantitative Equity Investing: Techniques and Strategies​ (Wiley, 2010).

Petter is a frequent speaker, panelist and moderator at academic and industry conferences and events. He is a member of the editorial boards of the International Journal of Portfolio Analysis and Management (IJPAM), Journal of Financial Data Science (JFDS), Journal of Investment Strategies (JoIS), and Journal of Portfolio Management (JPM). Petter is an Advisory Board Member of Alternative Data Group (ADG), AISignals and Operations in Trading (Aisot), Betterment (one of the largest robo-advisors) and Volatility and Risk Institute at NYU Stern. He is also on the Board of Directors of the International Association for Quantitative Finance (IAQF) and Scientific Advisory Board Member of the Artificial Intelligence Finance Institute (AIFI).

As an advisory board member, consultant, and expert witness, Petter has provided services in areas including alternative data, data science, econometrics, forecasting models, high frequency trading, machine learning, portfolio optimization with transaction costs, quantitative and systematic trading, risk management, robo-advisory, smart beta strategies, trading strategies, transaction costs, and tax-aware investing.

He holds a Ph.D. in Mathematics from Yale University; an M.Phil. in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden; and an M.S. in Mathematics from ETH Zurich, Switzerland

Andrey Chirikhin:

Head of Structured Credit QA, Barclays Investment Bank

Andrey Chirikhin: Head of Structured Credit QA, Barclays Investment Bank

Andrey was formerly Head of Modelling and Quantitative Analytics for L1 Treasury, part of a USD 25bn privately held investment vehicle LetterOne. Prior to LetterOne, Andrey was MD and Head of CVA and CCR quantitative Analytics at RBS. There he has created and run the front office cross asset CVA quant team. He also restructured and led the risk-side quant team charged with delivering a new Basel III compliant internal CCR methodology. The system utilizing the newly delivered methodology has won the 2013 Internal System of the year Risk award. In his 20 year career in investment banking, Andrey held several leadership and senior quant positions at Goldman Sachs, HSBC and Dresdner Kleinwort. Andrey Chirikhin holds PhD in Theoretical Statistics from Warwick University (UK), MBA from INSDEAD and MSc in Applied Mathematics from Moscow Institute for Physics and Technology (Phystech).

Since 2018 Andrey runs his own company, Quantitative Recipes, that advises on wide rage of XVA, long-term market modelling for risk and quant infrastructure.

Paul Bilokon:

Founder, CEO, Thalesians & Senior Quantitative Consultant, BNP Paribas

Paul Bilokon: Founder, CEO, Thalesians & Senior Quantitative Consultant, BNP Paribas

Dr. Paul Bilokon is CEO and Founder of Thalesians Ltd and an expert in electronic and algorithmic trading across multiple asset classes, having helped build such businesses at Deutsche Bank and Citigroup. Before focussing on electronic trading, Paul worked on derivatives and has served in quantitative roles at Nomura, Lehman Brothers, and Morgan Stanley. Paul has been educated at Christ Church College, Oxford, and Imperial College. Apart from mathematical and computational finance, his academic interests include machine learning and mathematical logic.

Svetlana Borovkova:

Head of Quantitative Modelling, Probability & Partners. Associate Prof, Vrije Universiteit Amsterdam

Svetlana Borovkova: Head of Quantitative Modelling, Probability & Partners and Associate Professor, Vrije Universiteit Amsterdam

Currently Head of Quantitative Modelling at Probability & Partners and Associate Professor at Vrije University Amsterdam, Dr Svetlana Borovkova has specialized in applying mathematical and statistical methods to problems within quantitative finance and risk management.

Dr Borovkova’s research extends in many areas, such as news analytics for finance, derivatives pricing, commodity markets and risk management in the face of new regulation. She is also a consultant for the Dutch Central Bank and the founder and principal consultant of DataDecisions: Financial Risk Consultancy.

Dr Borovkova is a frequent speaker on international conferences, such as Global Derivatives, Risk Minds, Bachelier Congress for Mathematical Finance, Sentiment Analysis and Behavioural Finance and others.

Previously she held an assistant professor position in Delft University of Technology and a trading analyst position in Shell Trading, London.

She got her PhD in 1998 from the University of Groningen, The Netherlands, and Oregon State University, USA and MSc degree in applied mathematics and computer science from Moscow and Utrecht.

Jörg Kienitz:

Finciraptor, AcadiaSoft, University of Wuppertal and Cape Town

Jörg Kienitz: Finciraptor, AcadiaSoft, University of Wuppertal and Cape Town

Jörg Kienitz works in Quantitative Finance and Machine Learning  at Acadiasoft and the owner of the Finciraptor website (finciraptor.de). He is primarily involved in consulting on the development, implementation and validation of models. Jörg lectures at the University of Wuppertal as an Assistant Professor and is an Adjunct Associate Professor at UCT. He has addressed major conferences including Quant Minds and WBS Quant Conference. Jörg has authored four books “Monte Carlo Object Oriented Frameworks in C++” (with Daniel J. Duffy), “Financial Modelling” (with Daniel Wetterau), “Interest Rate Derivatives Explained I” and “Interest Rate Derivatives Explained II” (with Peter Caspers).

His SSRN author page is https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=744396″

Julien Guyon: 

Senior Quant, Bloomberg L.P.

Julien Guyon: Senior Quant, Bloomberg L.P.

Julien is a senior quantitative analyst in the Quantitative Research group at Bloomberg L.P., New York. He is also an adjunct professor in the Department of Mathematics at Columbia University and at the Courant Institute of Mathematical Sciences, NYU. Before joining Bloomberg, Julien worked in the Global Markets Quantitative Research team at Societe Generale in Paris for six years (2006-2012), and was an adjunct professor at Universite Paris 7 and Ecole des ponts. He co-authored the book Nonlinear Option Pricing (Chapman & Hall, CRC Financial Mathematics Series, 2014) with Pierre Henry-Labordere. His main research interests include nonlinear option pricing, volatility and correlation modeling, and numerical probabilistic methods. Julien holds a Ph.D. in Probability Theory and Statistics from Ecole des ponts. He graduated from Ecole Polytechnique (Paris), Universite Paris 6, and Ecole des ponts. A big football fan, Julien has also developed a strong interest in sports analytics, and has published several articles on the FIFA World Cup, the UEFA Champions League, and the UEFA Euro in top-tier newspapers such as The New York Times, Le Monde, and El Pais, including a new, fairer draw method for the FIFA World Cup.

Ryan Ferguson:

Founder & CEO, Riskfuel

Ryan Ferguson: Founder & CEO, Riskfuel

Ryan is Founder and CEO at Riskfuel, a capital markets focused startup that is developing ultra-fast AI-based valuation technologies.Previously, Ryan was Managing Director and Head of Securitization, Credit Derivatives and XVA at Scotiabank. Prior roles have included credit correlation trading and managing the equity derivatives trading desk. Ryan began his career with positions in risk management and financial engineering. Ryan has a PhD in Physics from Imperial College, and a BASc and MASc in Electrical Engineering from the University of Waterloo.

Navin Rauniar:

Advisory Partner focusing on LIBOR, ESG, Climate Risk & TCFD, HSBC

Navin Rauniar: Advisory Partner focusing on LIBOR, ESG, Climate Risk & TCFD, HSBC

Navin is a Risk Director with 17 years’ experience in advising the sell side on the delivery of prudential regulation such as IBOR Transition, FRTB, IRRBB, Basel III, CRR 2 and CRD V. Navin is currently leading the IBOR workstream for a Tier One bank.

Prior to this, he worked as a Senior Manager at a leading global advisory firm, where he led the analysis of the impact of the IBOR Transition on financial institutions. Additionally, Navin has spent 15 years in the industry working in global run-the-bank and change-the-bank roles for Credit Suisse, RBS, Commerzbank and JP Morgan across Front Office, Risk and Operations.

Navin is a steering committee member of the Professional Risk Managers Association where he represents the Risk Management industry on regulatory initiatives, mentoring of capital markets professionals, and a frequent speaker at banking & thought leadership events.

Alexander Denev:

Co – Founder, TurnLeaf Analytics | Lecturer in AI, University of Oxford

Alexander Denev: Co – Founder, TurnLeaf Analytics | Lecturer in AI, University of Oxford

Alexander has more than 15 years of experience in finance, financial modelling and machine learning and was previously Head of AI – Financial Services Advisory in Deloitte. Prior to joining Deloitte, he led the Quantitative Research & Advanced Analytics at IHS Markit where he created and maintained a center of excellence.

He has written several papers and two books on topics ranging from stress testing and scenario analysis to asset allocation. He has provided thought leadership engagements for conferences, journals and global forums. He also worked as a senior advisor to Risk Dynamics, an arm of McKinsey & Company. Previously he was Director of Risk Models at the Royal Bank of Scotland, where his responsibilities included development of the stress testing methodologies and credit models, and a Fixed Income Structurer for a front office desk. He has also held roles at the European Investment Bank and the European Investment Fund and has participated in the engineering of both the European Financial Stability Facility and the European Stability Mechanism.

Alexander Denev attained his Master of Science degree in Physics with a focus on Artificial Intelligence from the University of Rome, Italy, and he holds a degree in Mathematical Finance from the University of Oxford, UK, where he continues as a visiting lecturer.

Fabrizio Anfuso:

Fabrizio Anfuso: Traded Risk Measurement, PRA, Bank of England

Fabrizio Anfuso: Traded Risk Measurement, PRA, Bank of England

Assad Bouayoun:

XVA and Credit Derivative Quant, Daiwa Capital Markets

Assad Bouayoun: XVA and Credit Derivative Quant, Daiwa Capital Markets

Assad Bouayoun is a senior XVA Quantitative Analyst with more than 15 years’ experience in leading banks. He has designed industry standard hedging and pricing systems, first in equity derivative at Commerzbank, then in credit derivatives at Credit Agricole, in XVA at Lloyds in Model Validation at RBS in Model Development. Assad has an extensive experience in developing enterprise wide analytics to improve the financial management of derivative portfolios, in particular large scale hybrid Monte-Carlo and Exposure computation. Assad is currently building the prototype of a new XVA platform integrating cutting-edge technologies (GPU, Cloud computing) and numerical methods (AAD) to enable fast and accurate XVA and sensitivities computation. He holds a MSc in Mathematical Trading and Finance from CASS business school and a Master in Applied Mathematics and Computer Science from Université de Technologie de Compiegne (France).

Sebastian Cassel:

Head of Valuation Model Risk, BNP Paribas

Sebastian Cassel: Head of Valuation Model Risk, BNP Paribas

Sebastian Cassel leads the Valuation Model Risk team at BNP Paribas covering model validation for trading book valuations including xVA. Previously, he worked in the Quantitative Research Centre at Royal Bank of Scotland Group developing market & counterparty risk models. Sebastian holds a D.Phil. in theoretical physics from Oxford University and M.Sci. from Cambridge University.

Peter Jaeckel:

Independent financial mathematics and analytics consultant. OTC Analytics

Peter Jaeckel: Independent financial mathematics and analytics consultant. OTC Analytics

Peter Jäckel received his DPhil from Oxford University in 1995. In 1997, he moved into quantitative analysis and financial modelling when he joined Nikko Securities. Following that he worked as a quantitative analyst at NatWest, Commerzbank Securities, ABN AMRO, and now VTB Capital where he is the Deputy Head of Quantitative Research. Peter is the author of “Monte Carlo Methods in Finance” published by John Wiley & Sons. Some of his publications can be found at WWW.JAECKEL.ORG.

Mariano Zeron:

Head of Research and Development: MoCaX Intelligence

Mariano Zeron: Head of Research and Development: MoCaX Intelligence

Mariano leads our Research & Development work. He has vast experience in Chebyshev Spectral Decomposition, machine-learning and related disciplines, and their application to quantitative problems in the financial markets. Mariano holds a Ph.D. in Mathematics from Cambridge University.

Arun Verma:

Quantitative Research Solutions, Bloomberg, LP

Arun Verma: Quantitative Research Solutions, Bloomberg, LP

Dr. Arun Verma joined the Bloomberg Quantitative Research group in 2003. Prior to that, he earned his Ph.D from Cornell University in the areas of computer science & applied mathematics. At Bloomberg, Mr. Verma’s work initially focused on Stochastic Volatility Models for Derivatives & Exotics pricing and hedging. More recently, he has enjoyed working at the intersection of diverse areas such as data science (for structured & unstructured data), innovative quantitative & machine learning methods and finally interactive visualizations to help reveal embedded signals in financial data.

Harsh Prasad:

Vice President, Morgan Stanley

Harsh Prasad: Vice President, Morgan Stanley 

Harsh currently works with Morgan Stanley in Quant Analytics Group. He started his career as a programmer focussed on developing data driven algos in the areas of speech recognition, image processing and bioinformatics. He then moved to financial risk management and over the last 12 years has worked in various roles through the life cycle of models. In these roles, he has been continuously enthusiastic to applying machine learning in problems related to behavioural assumptions, data quality, recommender systems,  model benchmarking and text analytics. His current role requires him reviewing all Machine Learning models used by the firm and providing direction to shaping AIML governance framework and strategy. He is also a visiting lecturer with universities and training institutions.

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