World Business StrategiesServing the Global Financial Community since 2000

World-Renowned Machine Learning Faculty

Our faculty is hand picked to offer you the best learning experience including world class academics and practitioners from institutions such as JP. Morgan, Microsoft, Natwest & Danske Bank.

Head of Faculty:

Paul Bilokon:

CEO, Thalesians, Visiting Professor, Imperial College

Paul Bilokon: CEO, Thalesians, Visiting Professor, Imperial College

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.

Deputy Head of Faculty:

Ivan Zhdankin:

Systematic Trading, JPMorgan Chase & Co

Ivan Zhdankin: Systematic Trading, JPMorgan Chase & Co

Ivan Zhdankin is a quantitative researcher with experience in diverse areas of quantitative finance, including risk modelling, XVA, and electronic trading across asset classes, including commodity futures and G10 and emerging market currencies. Ivan was consulting various banks in quantitative modeling and has recently joined JP Morgan as a quantitative analyst. He has become one of the first researchers to generate convincing results in electronic alpha with neural nets. He has a solid mathematical background from New Economic School and Moscow State University, where he studied under the celebrated Albert Shiryaev, one of the developers of modern probability theory.

Faculty:

Francesca Lazzeri:

Principal Manager, Cloud & AI & Machine Learning, Microsoft

Francesca Lazzeri: Principal Manager, Cloud & AI & Machine Learning, Microsoft

Francesca Lazzeri is a machine learning scientist on the cloud advocacy team at Microsoft. An expert in big data technology innovations and the applications of machine learning-based solutions to real-world problems, she has worked with these issues in a wide range of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. Previously, she was a research fellow in business economics at Harvard Business School, where she performed statistical and econometric analysis within the Technology and Operations Management Unit and worked on multiple patent data-driven projects to investigate and measure the impact of external knowledge networks on companies’ competitiveness and innovation. Francesca periodically teaches applied analytics and machine learning classes at universities in USA and Europe. and is a mentor for PhD and postdoc students at the Massachusetts Institute of Technology. She enjoys speaking at academic and industry conferences to share her knowledge and passion for AI, machine learning, and coding. Francesca holds a PhD in innovation management.

Matthew Dixon:

Stuart School of Business, Illinois Institute of Technology

Matthew Dixon: Stuart School of Business, Illinois Institute of Technology

Matthew Dixon, Ph.D, FRM, began his career as a quant in structured credit trading at Lehman Brothers. He has consulted for numerous investment management, trading and financial technology firms in machine learning and risk analytics. He is the author of the 2020 textbook “Machine Learning in Finance: From Theory to Practice” and has written over 20 peer reviewed papers on machine learning and computational finance, including SIAM J. Financial Mathematics and the Journal of Computational Finance. He is the recipient of an Illinois Tech innovation award, and his research has been funded by Intel and the NSF.  Matthew has recently contributed to the CFA syllabus on machine learning and he currently serves on the CFA advisory committee for quantitative trading. He has been invited internationally to give talks at prestigious seminars organized by investment banks and universities in addition to being quoted in the Financial Times and Bloomberg Markets.  He holds a Ph.D. in Applied Math from Imperial College, has held visiting academic appointments at Stanford and UC Davis, and is a tenure-track Assistant Professor at Illinois Tech.

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.

Claudio Albanese:

Founder, Global Valuation

Claudio Albanese: Founder, Global Valuation

Ioana Boier:

Ioana Boier:

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.

Achintya Gopal:

Machine Learning Quant Researcher, Bloomberg

Achintya Gopal: Machine Learning Quant Researcher, Bloomberg

Achintya Gopal is a Machine Learning Quant Researcher in the Quantitative Research group in the Office of the CTO at Bloomberg, where he works on applying machine learning within the financial domain. Prior to that, he worked on estimating carbon emissions using machine learning, developing new models in normalizing flows, and exploring new methods to evaluate statistical models with model uncertainty. More recently, he has been working on a variety of projects ranging from volatility modeling using neural networks, causal inference for investing, generative models in differential privacy, active learning for NLP, and the interpretability of large language models.

Robert Dargavel Smith:

Lead Data Scientist, Clarity AI

Robert Dargavel Smith: Lead Data Scientist, Clarity AI

“Robert Smith is a Lead Data Scientist at Clarity AI. Previously he was Head of Data Science at IHS Markit (now part of S&P Global). He has worked in capital markets for over 25 years in Banco Santander and ABN Amro, holding various positions from Head of CVA Desk to Global Head of Quantitative Analysis.”

Jack Jacquier

Reader in the Department of Mathematics at Imperial College London

Dr Antoine Jacquier: Reader in the Department of Mathematics at Imperial College London.

His research interests are in Probability and Mathematical Finance. He is particularly interested in large deviations methods and asymptotic expansions for stochastic processes, and their applications to volatility modelling.

He also works on applications of Deep Learning and Quantum Computing in Mathematical Finance.

His personal webpage can be found at www2.imperial.ac.uk/~ajacquie/

Blanka Horvath:

Associate Professor in Mathematical and Computational Finance, University of Oxford

Blanka Horvath: Associate Professor in Mathematical and Computational Finance, University of Oxford and Researcher, The Alan Turing 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.

Olga Petrova:

AI Product Manager, Scaleway

Olga Petrova: AI Product Manager, Scaleway

A former theoretical physicist turned machine learning engineer, Olga is now building a smart data annotation platform at Scaleway as a technical product manager. On the community side, she enjoys blogging about the latest advancements in AI both in and out of working hours. Some of her writing can be seen on medium.com/@olgapetrova_92798

Terry Benzschawel:

Founder and Principal, Benzschawel Scientific, LLC

Terry Benzschawel: Founder and Principal, Benzschawel Scientific, LLC

Terry Benzschawel is the Founder and Principal of Benzschawel Scientific, LLC. The former Managing Director in Citigroup’s Institutional Clients Business. Terry headed the Credit Trading Analysis group which develops and implements quantitative tools and strategies for credit market trading and risk management, both for Citi’s clients and for in-house applications. Some sample tools include models of corporate default and recovery values, relative value of corporate bonds, loans, and credit default swaps, credit portfolio optimization, credit derivative trades, capital structure arbitrage, measuring and hedging liquidity risk, and cross-credit-sector asset allocation.

After six years of post-doctoral research in academia and industry and two years in consumer banking, Terry began his investment banking career in at Salomon Brothers in 1992. Terry built models for proprietary arbitrage trading in bonds, currencies and derivative securities in Salomon’s Fixed Income Arbitrage Group. In 1998, he moved to the Fixed Income Strategy department as a credit strategist with a focus on client-oriented solutions across all credit markets and has worked in related roles since then. Terry was promoted to Managing Director at Citi in 2008.

Terry received his Ph.D. in Experimental Psychology from Indiana University (1980) and his B.A. (with Distinction) from the University of Wisconsin (1975). Terry has done post-doctoral fellowships in Optometry at the University of California at Berkeley and in Ophthalmology at the Johns Hopkins University School of Medicine and was a visiting scientist at the IBM Thomas J. Watson Research Center prior to embarking on a career in finance. He currently serves on the steering committees of the Masters of Financial Engineering Programs at the University of California at Berkeley and the University of California at Los Angeles and Carnegie Mellon University’s Computational Finance Program.

Terry is a frequent speaker at industry conferences and events and has lectured on credit modelling at major universities. In addition, he has published over a dozen articles in refereed journals and is author of CREDIT MODELING: FACTS, THEORIES AND APPLICATIONS. In addition, Terry has been the instructor for courses in credit modelling for Incisive Media and the Centre for Finance Professionals. Finally, Terry has taught a course on credit modelling at Russia’s Sberbank in Moscow.

Peter Schwendner:

Professor, Head Institute of Wealth & Asset Management, ZHAW Zurich University of Applied Sciences

Peter Schwendner: Professor, Head Institute of Wealth & Asset Management,

Peter leads the Institute of Wealth & Asset Management (IWA) at Zurich University of Applied Sciences (ZHAW). He is a member of the organizing committees of the Swiss CFA Pension Fund conference, the Networking Event Series – Sustainable Finance Technology powered by Innosuisse and the COST Conference on Artificial Intelligence in Industry and Finance.
The IWA is running the BRIDGE Discovery project “Spatial sustainable finance: Satellite-based ratings of company footprints in biodiversity and water” together with the Institute of Natural Resource Sciences at ZHAW and the Department of Geography at UZH.

Toby Weston:

Quantitative Analyst, NatWest Markets

Toby Weston: Quantitative Analyst, NatWest Markets

David Foster:

Founding Partner, Applied Data Science Partners | Author of ‘Generative Deep Learning’

David Foster: Founding Partner, Applied Data Science Partners | Author of ‘Generative Deep Learning’

Saeed Amen

Turnleaf Analytics / Cuemacro / Visiting Lecturer at QMUL

Saeed Amen: Turnleaf Analytics / Cuemacro / Visiting Lecturer at QMUL

Saeed has a decade of experience creating and successfully running systematic trading models at Lehman Brothers and Nomura. He is the founder of Cuemacro, Cuemacro is a company focused on understanding macro markets from a quantitative perspective. He is the author of ‘Trading Thalesians – What the ancient world can teach us about trading today’ (Palgrave Macmillan), and graduated with a first class honours master’s degree from Imperial College in Mathematics& Computer Science.

Adam Baranowski:

Quantitative Analyst, Thalesians Marine

Adam Baranowski: Quantitative Analyst, Thalesians Marine

Adam Baranowski holds a Master’s degree from a joint program between the University of Bonn and the University of Warsaw. Following his Master’s program, he pursued a Pure Mathematics PhD at The Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. During his time at Cambridge, he was a fellow of Cambridge University Philosophical Society and the President of the Cambridge University Algorithmic Trading Society. In the latter role, he was coordinating and running algorithmic trading workshops, coding sessions and lectures for graduate students and Postdocs.

Today, Adam works as a Quantitative Analyst and a consultant. Additionally, he conducts corporate training, where he specializes in both theoretical aspects of Machine Learning and Topological Data Science, and their applications to the field of quantitative finance. His training sessions cater to clients from both buy and sell side, providing them with an understanding of these areas to leverage in their work.

ADVISORY BOARD:

Helyette Geman:

Ralph O’Connors Sustainable Energy Institute, Johns Hopkins University

Helyette Geman: PhD, PhD: Ralph O’Connors Sustainable Energy Institute, Johns Hopkins University, Visiting Professor, Inland Norway University of Applied Sciences

Director, Commodity Finance Centre, Birkbeck-University of London

Ralph O’Connors Sustainable Energy Institute, Johns Hopkins University

Hélyette Geman is a Graduate of Ecole Normale Superieure in Mathematics and holds PhDs in Probability and Finance and a Masters’ degree in Theoretical Physics.

She has published more than 100 papers in Quantitative Finance; her book ‘Commodities and Commodity Derivatives’ is the reference in the field.

Hélyette Geman has taught in a number of prestigious Institutions worldwide and consulted for trading entities such as Louis Dreyfus, EDF Trading or Total Gas & Power.

Named ‘Financial Engineer of the Year 2022’ by the International Association for Quantitative Finance.

Piotr Karasinski:

Director of Client Solutions, AlgoDynamix

Piotr Karasinski: Director of Client Solutions, AlgoDynamix

Piotr Karasinski is a pioneering quantitative analyst, best known for the Black–Karasinski short rate model which he co-developed with the late Fischer Black. His contributions to quantitative finance include models for interest rates, equity and hybrid products[1] and random volatility.[2]

He is currently Senior Advisor at the European Bank for Reconstruction and Development. He is on the editorial board of the journalQuantitative Finance[1] Previously, he has held a number of positions at leading firms in New York and London including: Managing Director at HSBC, Director and Head Derivatives Research at Citibank, MD at Chemical Bank, Director at Deutsche Bank and Vice President at Goldman Sachs.

He studied physics at Warsaw University (MSc 1978) and earned his PhD at Yale University (1984).

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