Agenda

Claire Liu is a Director within the Clearing and Post-Trade Services Division at CME Group. She joined the quantitative risk management group at CME Clearing in 2014. She holds a master’s in mathematical finance degree from Illinois Institute of Technology. She is a Chartered Financial Analyst charterholder and a certified Financial Risk Manager. She likes playing the violin during her leisure time.

Fabrizio Anfuso, Senior Technical Specialist, PRA, BANK OF ENGLAND

Fabrizio is a leading expert in developing complex risk analytics, quantitative modelling and financial regulations. He has an extensive track-record of heading quant teams onshore and offshore, as well as of taking part in firm-wide programs, such as IMM, BCBS-IOSCO Margin Requirements and IBOR transition. 
In his present and previous roles, Fabrizio has gained a comprehensive knowledge of the full model development cycle, including the model design, the validation of model performance, the IT implementation and the attainment of regulatory compliance.
His main areas of expertise are Counterparty credit risk, Monte Carlo simulations, Internal Models for the trading book (IMM and IMA), derivatives pricing, CCPs & collateral modelling, Initial Margin methodologies and regulatory capital. 
Fabrizio is chairing the master’s course in Counterparty Credit Risk of the ETH / University of Zurich and taught a number of advanced professional trainings in topics such as CCR, capital management and Initial Margin methodologies. 
As part of his academic activities, he has authored numerous research articles in the fields of quantitative finance and condensed matter physics. Fabrizio holds a Ph.D. in Theoretical Physics from the Chalmers University of Technology (Gothenburg, Sweden).
 

Wim Schoutens is a quantitative finance professor at the University of Leuven, Belgium.

He has extensive practical experience of model implementation and validation. He is well known for his consulting work with the banking industry and national and supra-national institutions. He is an independent expert advisor to the European Commission, has worked for the IMF and is the author of several books on quantitative finance.

His latest books, co-authored with Dilip Madan, are about the brand new theory of conic finance.
He is also a member of different editorial Boards of international finance journals. Wim is also a founding partner of RiskConcile, a fintech company with roots within the University of Leuven.

He likes arbitrages, politically incorrect statements and making jam.

Youssef Elouerkhaoui is a Managing Director and the global head of markets quantitative analysis at Citi. His group supports all modelling and product development activities across businesses. He is also in charge of CVA, Funding and Regulatory Capital for his businesses. Prior to this, he was a Director in the Fixed Income Derivatives Quantitative Research Group at UBS, where he was in charge of model development for the Structured Credit Desk. Before joining UBS, Youssef was a Quantitative Research Analyst at Credit Lyonnais supporting Interest Rates Exotics. He is a graduate of Ecole Centrale Paris and he holds a PhD in Mathematics from Paris-Dauphine University.

Laura Ballotta is a Professor of Mathematical Finance at the Faculty of Finance of Bayes Business School (formerly Cass). She works in the areas of quantitative finance and risk management. She has written on topics including stochastic modelling for financial valuation and risk management, numerical methods aimed at supporting financial applications, and the interplay between finance and insurance.

Matthias Arnsdorf is a Managing Director and the global head of the Counterparty Credit Risk Quantitative Research team at J.P. Morgan. His responsibilities include the development of credit exposure and funding models for valuation, risk management as well as credit risk capital. He has published and presented numerous articles on credit risk and credit derivatives.

Matthias started his career in finance in 2002 working in credit derivatives quantitative research. Prior to this he spent two years as a post-doctoral researcher at the Niels Bohr Institute in Copenhagen. Matthias holds a PhD in Quantum Gravity from Imperial College London.

Jaya Nagaradjasarma is the head of EMEA Equities Algo Quant Research for the Equity eTrading line of business at Bank of America London. She and her team create quantitative solutions that leverage data science, AI, and machine learning to optimise equities execution algorithms.  Before joining Bank of America, Jaya worked in quantitative roles for automated trading desks in several asset classes on the buy side. Her earlier career includes roles at Susquehanna International Group in Dublin, Man AHL in Oxford, and Antares Technologies in Paris. Jaya received her master’s degree from Ecole Nationale de la Statistique et de l'Administration Economique, her DEA in Probability and Finance from Pierre et Marie University (DEA El Karoui), and her Ph.D. in Statistics from the London School of Economics. Jaya currently resides in London.

Damien Besombes is a Vice President in the Quantitative Strategies and Data Group for EMEA Equities Execution at BofA Securities. Damien has 6 years of experience designing and building execution algorithms. He also previously worked as a Software Developer at the bank and as a Quant Developer in Energy trading at TotalEnergies. Damien graduated from Supélec in France.

Prof. Rama Cont holds the Chair of Mathematical Finance at Imperial College London and is director of the CFM-Imperial Institute of Quantitative Finance since 2012, after previous appointments at Ecole Polytechnique (France), Columbia University (New York) and Sorbonne (Paris).

His research in finance has focused on modeling of extreme market risks: market discontinuities and breakdowns, liquidity risk, endogenous risk and systemic risk. His 2006 paper on ‘model risk', an early reference on the topic, was the first to propose a quantitative approach to model risk.

Cont has served as a consultant to the BIS, the European Central Bank, the New York Federal Reserve, Norges Bank, the US Commodity Futures Commission (CFTC), the US Office of Financial Research, the IMF and a dozen major CCPs in Europe, Asia, the US and Latin America.

He was awarded the Louis Bachelier Prize by the French Academy of Sciences in 2010 and the Royal Society Award for Excellence in Interdisciplinary Research in 2017 for his research on mathematical modeling in finance.

Lorenzo is a Lecturer in Mathematics at the University of Bologna. He was previously appointed at the University of Parma and holds a Post-Doc from LMU Munich. Before joining academia, he worked for the Italian Pension Regulator (COVIP) and took part in the EIOPA-Occupational Pension Committees for the revision of the European Union IORP directive on European Pension Funds. 

His research interests are the modelling of the implied volatility surface, applications of jump processes in finance, time changed processes, tempered stable laws, fractional calculus and anomalous diffusions and their applications to finance. He is also interested in economic and mathematical models for public pension systems.

Lorenzo holds an MSc in Mathematics and Finance from Imperial College London and one in Pure Mathematics with a major in Geometry from the University of Roma Tre. His PhD in Mathematics was obtained from UCL London. 

Carlo Acerbi is a quantitative financial risk management researcher and professional, author of relevant contributions in the field of banking regulation (2002 coherent definition of ES ; 2019 ES backtesting), asset management liquidity regulation (2013 MSCI LiquidityMetrics) and stress testing (2016 MSCI ST best practices), among others.

He received a PhD in Theoretical Physics (1998, ISAS-SISSA, Trieste, Italy). He served for leading institutions in the financial risk industry (Banca Intesa, Abaxbank, McKinsey, RiskMetrics-MSCI, Banque Pictet). He teaches Advanced Derivatives at Bocconi University, Milan, Advanced Risk Management Topics at EPFL Lausanne (from Q4 2023) and he's Honorary Professor at Corvinus University, Budapest.

Francesco Capponi, PhD, is a member of BlackRock’s Trading Research team.

Francesco is responsible for trading research in both Equities and FX, with an emphasis on market microstructure, transaction cost analysis, and execution research.

Prior to joining BlackRock, he worked at Barclays as a quantitative researcher within the quantitative portfolio construction team.

He holds an MPhil in Economics from the University of Cambridge, and a PhD in Mathematical Finance from Imperial College London.

Johannes us the Head of the Mathematical Finance Section at Imperial College London, where he also directs the CFM-Imperial Institute on Quantitative Finance. Before his appointment at Imperial, Johannes held faculty positions at Carnegie Mellon University, the University of Michigan and ETH Zurich. His research focuses on the impact of "market frictions” such as trading costs or asymmetric information on optimal trading strategies.

Lorenzo Ravagli is an Executive Director in the Quantitative and Derivatives Strategy team, Head of European FX vol strategy, focusing on macro ideas and systematic strategies in the volatility space. Lorenzo joined J.P. Morgan in May 2018 after working as a senior Quantitative Strategist at Société Générale since 2008. He graduated from Florence University with a PhD in Theoretical Physics. He has published in top journals on physics and quantitative finance.

Stéphane Crépey is Professor of Mathematics at Université Paris Cité, Laboratoire de Probabilités, Statistique et Modélisation (LPSM), Team Mathematical Finance and Numerical Probability. His research interests are counterparty credit risk, XVA analysis, central counterparties, quantitative reverse stress tests; Model risk and uncertainty quantification; Backward stochastic differential equations (reflected, anticipated, in combination with progressive enlargement of filtration,...); Machine learning for finance (learning conditional expectations and risk measures, calibration by neural networks or Gaussian processes, anomaly detection,...). He is the author of numerous research papers published in journals including Annals of Probability, Finance and Stochastics, Mathematical Finance, Stochastic Processes and their Applications or Risk Magazine. He wrote two books: Financial Modeling: A Backward Stochastic Differential Equations Perspective (S. Crépey, Springer Finance Textbook Series, 2013) and Counterparty Risk and Funding, a Tale of Two Puzzles (S. Crépey, T. Bielecki and D. Brigo, Chapman & Hall/CRC Financial Mathematics Series, 2014). He is a member of the scientific council of the French financial markets authority (AMF). Stéphane graduated from ENSAE ParisTech and holds a PhD in differential games and mathematical finance from Ecole Polytechnique and INRIA Sophia Antipolis.

Stefan Zohren is deputy director of the Oxford-Man Institute of Quantitative Finance and an associate professor at the Department of Engineering Science at the University of Oxford. He is a fellow of the Turing Institute, the UK’s national institute for artificial intelligence (AI) and data science. Zohren’s research is focused on machine learning in finance, including deep learning, reinforcement learning, network and natural language processing approaches, and early use cases of quantum computing. He works with Man Group on commercial research projects and is a frequent speaker on AI in finance, representing the Oxford-Man Institute at academic conferences, industry panels and corporate events.

Huyên PHAM is a distinguished Professor of Mathematics at Université Paris Cité.  He is also Adjunct Professor at ENSAE and was Chair of Applied Mathematics at the John Von Neumann Institute of VNU-HCM. He leads research in quantitative finance, stochastic analysis and control, machine learning, and is the author of more than 110 publications, including the monograph Continuous time Stochastic Control and Optimization with Financial Applications. He serves on the editorial boards of several international journals and is the co-editor in chief of the journal Applied Mathematics and Optimization. Prof. Pham was appointed member of the Institut Universitaire de France in 2006, awarded the Louis Bachelier prize by the French Academy of Sciences in 2007, and was a plenary speaker at the 9th World congress of the Bachelier Finance Society in 2016, and at the 6th Asian Quantitative Finance Conference in 2018.

Milena Vuletić is a DPhil Student in the Centre for Doctoral Training in Mathematics of Random Systems at the University of Oxford. She is supervised by Prof. Rama Cont and Prof. Mihai Cucuringu. Her research is focused on mathematical and data-driven modelling of multi-asset markets.

Nikolai Nowaczyk is a Risk Management consultant who has advised more than 10 clients in over 20 projects around counterparty credit risk, xVA and model validation. He is broadly interested in classical methods of financial mathematics and statistics as well as data science and machine learning. Nikolai holds a PhD in mathematics from the University of Regensburg, has been an academic visitor to Imperial College London and likes to build bridges between academic research and practical applications.

Purba Das is a Lecturer in Financial Mathematics at King's College London. Purba's current research interests are Pathwise methods in stochastic analysis and it's application in Finance. Previously, she was a Research Assistant Professor of Mathematics at the University of Michigan (2022-2023). Purba completed her DPhil in Mathematical Institute at the University of Oxford (2018- 2022). Previously Purba received her Master’s, and Bachelor’s degree from Chennai Mathematical Institute, India.