
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.
Bruno Dupire:
Head of Quantitative Research, Bloomberg
Bruno Dupire:
Bruno Dupire: Head of Quantitative Research, Bloomberg
Bruno Dupire is the Global Head of Quantitative Research, CTO Office at Bloomberg, which he joined in 2004. Prior to this assignment in New York, he has headed the Derivatives Research teams at Société Générale, Paribas Capital Markets and Nikko Financial Products where he was a Managing Director. He is best known for having pioneered the widely used Local Volatility model (simplest extension of the Black-Scholes-Merton model to fit all option prices) in 1993 and the Functional Itô Calculus (framework for path dependency) in 2009. He is a Fellow and Adjunct Professor at NYU and he is in the Risk magazine “Hall of Fame”. He is the recipient of the 2006 “Cutting edge research” award of Wilmott Magazine and of the Risk Magazine “Lifetime Achievement” award for 2008. He runs and organizes the Bloomberg Quant (BBQ) seminar, the largest monthly event of this kind.
Ioana Boier:
Ioana Boier:
Ioana Boier: Senior Principal Solutions Architect, NVIDIA
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.
Vladimir Piterbarg:
MD, Head of Quantitative Analytics and Quantitative Development, NatWest Markets
Vladimir Piterbarg:
Vladimir Piterbarg: MD, Head of Quantitative Analytics and Quantitative Development at NatWest Markets
Adolfo Montoro:
Director, Global Market Risk Analytics, Bank of America
Adolfo Montoro:
Adolfo Montoro: Director, Global Market Risk Analytics, Bank of America
Adolfo Montoro FRM, is a director in the Global Market Risk Analytics, Bank of America in London. Previously he lead the Market Data Strategy and Analytics team and represented Deutsche Bank in the Industry FRTB Working Group supporting elements of the FRTB implementation and advocacy for the Bank over the last five years. Previously he has been in charge of the Strategic implementation of Full Revaluation-based suite of VaR model ensuring as well the adequacy of quantitative methodologies used for market risk management and regulatory purposes (Pillar I and II). He has earned an MSc in Risk Management from Bocconi University, Italy, and graduated with a degree in economics (with honours) from Universita’ della Calabria, Italy. He has earned his Financial Risk Manager (FRM) certification in 2005. Adolfo is currently affiliated with the Global Association of Risk Professionals, where he serves both as a Regional Director for the UK Chapter as well as member of the FRM Committee.
Nicole Königstein:
Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG
Nicole Königstein:
Nicole Königstein: Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG
Nicole Königstein is a distinguished Data Scientist and Quantitative Researcher, currently working as Data Science and Technology Lead at impactvise, an ESG analytics company, and as Head of AI and Quantitative Research at Quantmate, an innovative FinTech startup focused on alternative data in predictive modeling. Alongside her roles in these organizations, she serves as an AI consultant across diverse industries, leading workshops and guiding companies from the conceptual stages of AI implementation through to final deployment.
As a guest lecturer, Nicole shares her expertise in Python, machine learning, and deep learning at various universities. She is a regular speaker at renowned AI and Data Science conferences, where she conducts workshops and educational sessions. In addition, she is an influential voice in the data science community, regularly reviewing books in her field and offering her insights and critiques. Nicole is also the author of the well-received online course, “Math for Machine Learning.
Alexander Sokol:
Executive Chairman and Head of Quant Research, CompatibL
Alexander Sokol:
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.
Alexandre Antonov:
Alexandre Antonov:
Alexandre Antonov: Quantitative Research & Development Lead, Abu Dhabi Investment Authority (ADIA)
Alexandre Antonov received his PhD degree from the Landau Institute for Theoretical Physics in 1997. He worked for Numerix during 1998-2017, Danske Bank as the Chief Analyst in Copenhagen and is currently the Quantitative Research & Development Lead at Abu Dhabi Investment Authority (ADIA).
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.
Blanka Horvath:
Associate Professor in Mathematical and Computational Finance, University of Oxford
Blanka Horvath:
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.
Dmitri Goloubentsev:
CTO, Head of Automatic Adjoint Differentiation, Matlogica
Dmitri Goloubentsev:
Dmitri Goloubentsev: CTO, Head of Automatic Adjoint Differentiation, Matlogica
Dmitri has 15 years of combined experience in model development working on C++ quant libraries. He worked as a Senior Quant Analyst in interest rate derivatives and played a leading role in delivering XVA solution at a major Canadian bank. Prior to focusing on AAD, he was responsible for construction of SIMM/MVA model. Dmitri earned his degree in Maths and Applied Maths from the Moscow State University.
Alexei Kondratyev:
Quantitative Research & Development Lead, Abu Dhabi Investment Authority (ADIA)
Alexei Kondratyev:
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.
Fabrizio Anfuso:
Traded Risk Measurement, PRA, Bank of England
Fabrizio Anfuso:
Fabrizio Anfuso: Traded Risk Measurement, 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).
Eduardo Epperlein:
Managing Director, Global Head of Risk Methodology, Nomura International
Eduardo Epperlein:
Eduardo Epperlein has 30 years’ experience in the financial industry and is currently Managing Director and Global Head of Risk Methodology at Nomura. He is responsible for credit, market and operational risk methodology, as well as stress testing analytics. Prior to joining Nomura, Eduardo held various roles in risk methodology at Citigroup, including model validation. Eduardo holds a PhD in Plasma Physics from Imperial College, London, and spent 10 years as a research scientist prior to joining the financial industry.
Julien Hok:
Quantitative Analysis, Investec Bank
Julien Hok:
Julien Hok: Quantitative Analysis, Investec Bank
Julien Hok holds a PhD in financial mathematics from Ecole Polytechnique France.
He started as a quantitative analyst in equity at Santander in London for 6 years and worked at Citi Group for 2 years at London in interest rates. After, he joined CA-CIB as quantitative analyst in the hybrid desk at London for 4 years. Currently, he is a front office quantitative analyst responsible for Equity and FX Derivatives desk at INVESTEC Bank.
Andrey Chirikhin:
Head of Structured Credit QA, Barclays Investment Bank
Andrey Chirikhin:
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.
Svetlana Borovkova:
Climate Risk Quant Research, Bloomberg
Svetlana Borovkova:
Svetlana Borovkova: Climate Risk Quant Research, Bloomberg
Svetlana Borovkova is Climate Risk Quant Researcher at Bloomberg, developing models and tools for Climate Risk and Climate Stress Testing for a wide variety of financial institutions.
Previously she held a position of an associate professor of Quantitative Finance and Risk Management at the Vrije Universiteit Amsterdam and was heading the quantitative modelling team at Probability & Partners.
Svetlana Borovkova has over 60 publications in academic and professional journals as well as books and book contributions. She is a frequent invited and keynote speaker at major international conferences such as QuantMinds and RiskMinds.
Youssef Elouerkhaoui:
Managing Director, Global Head of Markets Quantitative Analysis, Citi
Youssef Elouerkhaoui:
Youssef Elouerkhaoui: Managing Director, Global Head of Markets 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.
Christopher Kantos:
Managing Director and Head of Quantitative Research, Alexandria Technology
Christopher Kantos:
Christopher Kantos: Managing Director and Head of Quantitative Research, Alexandria Technology
Mr. Christopher Kantos is a Managing Director and Head of Quantitative Research at Alexandria Technology. In this role, he focuses on maintaining and growing new business in EMEA, and exploring ways in which natural language processing and machine learning can be applied in the financial domain. Prior, he spent 15 years working in financial risk at Northfield Information Services as a Director and Senior Equity Risk Analyst. Mr. Kantos earned a BS in computer engineering from Tufts University.
Jesper Andreasen:
Head of Quantitative Analytics, Verition Fund Management LLC
Jesper Andreasen:
Jesper Andreasen: Head of Quantitative Analytics, Verition Fund Management LLC
Jesper Andreasen is head of Quantitative Analytics at Verition Fund Management LLC. Jesper has previously held senior positions in the quantitative research departments of Saxo Bank, 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.
Michael Pykhtin:
Manager, Quantitative Risk, U.S. Federal Reserve Board
Michael Pykhtin:
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.
Matthias Arnsdorf:
Global head of Counterparty Credit Risk Quantitative Research, J.P. Morgan
Matthias Arnsdorf:
Matthias Arnsdorf: Global head of Counterparty Credit Risk Quantitative Research, J.P. Morgan
Since 2012 Matthias has been heading the counterparty credit risk quantitative research team globally.
His main responsibilities include the development & support of J.P. Morgan’s suite of credit exposure models which are used for valuation and risk management as well as credit capital.
Prior to his work in credit risk, Matthias headed the market risk capital modelling effort in EMEA for two years. Matthias started his career in finance in 2002 as a credit derivatives quantitative researcher at UBS and J.P.Morgan.
Matthias holds a PhD in Quantum Gravity from Imperial College London and has spent two years as a post-doctoral researcher at the Niels Bohr Institute in Copenhagen prior to his move to quantitative finance.
Dominique Bang:
Managing Director, FICC Quantitative Modelling Lead, Bank Of America
Dominique Bang:
Dominique Bang: Managing Director, FICC Quantitative Modelling Lead, Bank Of America Paris
Dominique Bang received his PhD from Observatory of Paris (2002) in the field of ‘Mathematical Methods applied to Celestial Mechanics’. He moved into quantitative finance in 2006. Dominique has since been working in Bank Of America in the interest rates and hybrid quantitative team where he is covering every aspect ranging from plain vanilla to exotic structured products.
Valer Zetocha:
Senior Quantitative Analyst, ED, Julius Baer
Valer Zetocha:
Valer Zetocha: Senior Quantitative Analyst, ED, Julius Baer
Ignacio Ruiz:
Ignacio Ruiz:
Ignacio Ruiz: Founder, MoCaX Intelligence
Ignacio Ruiz has been the Head of Counterparty Credit Risk Measurement and Analytics, Scotiabank, the head strategist for Counterparty Credit Risk, exposure measurement, for Credit Suisse, as well as the Head of Risk Methodology, equities, for BNP Paribas. In 2010, Ignacio set up iRuiz Consulting as an independent advisory business in this field. In 2014, Ignacio founded iRuiz Technologies to develop and commercialise MoCaX Intelligence.
Ignacio has several publications in the space of quantitative risk management and pricing. He has also published a comprehensive guide to the subject of XVA Desks and Risk Management.
He holds a PhD in nano-physics from Cambridge University.
Alejandro Rodríguez Domínguez:
Head of Quantitative Research & Analysis, Miraltabank
Alejandro Rodríguez Domínguez:
Alejandro Rodríguez Domínguez: Head of Quantitative Research & Analysis, Miraltabank
Alejandro Rodriguez Dominguez is Head of Quantitative Analysis at Miralta Bank since 2018, a Spanish bank with a focus on private and institutional investments, and more than 1 Bn of AUM. His team is responsible for the R&D of data-driven and AI-based solutions across the institution. His research focuses mainly on the applications of machine learning and statistics to portfolio risk diversification, correlation structures and causality, and developing risk management indicators. He is also a quant advisor at Inspiration-Q, working in the R&D of quantum-inspired systematic investment strategies.
Previously, Alejandro worked in London and Paris for several years in Société Générale, Nomura, BBVA and BNP Paribas since 2012, in trading and financial engineering roles. Alejandro pursues a PhD at University of Reading in Artificial Intelligence, and holds a M. Eng in Mining Engineering, a MSc in Financial Engineering from Imperial College London, a MSc in Computational Statistics, and a MSc in Artificial Intelligence from Cork Institute of Technology.
Vladimir Chorniy:
Managing Director, Head of Risk Model Fundamentals and Research Lab, Senior Technical Lead, BNP Paribas
Vladimir Chorniy:
Vladimir Chorniy started his career in finance as a founding member and later led Credit Risk Analytics team in Barclays Capital. Later he headed Risk Methodology and Analytics team in BNP Paribas responsible for methodologies covering counterparty risk (EE/PFE models), market risk (VAR, IRC, CRM), credit value adjustment, capital calculations and exotic derivative treatment. Later Vladimir has assumed a new role to determine long term strategy of risk modelling in BNP Paribas as Head of Risk Modelling Strategy and Senior Technical Lead. In 2022 whilst retaining his lead role in model development Vladimir founded and became the head of Risk Model Fundamentals and Research Lab to reflect evolving role and understanding of model risk. Vladimir holds a Ph.D. in Physics from Cambridge University.
Lech Grzelak:
Quantitative Analyst, Rabobank and Assistant Professor, TUDelft
Lech Grzelak:
Lech Grzelak: Quantitative Analyst, Rabobank and Assistant Professor, TUDelft
Peter Jaeckel:
Independent financial mathematics and analytics consultant. OTC Analytics
Peter Jaeckel:
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.
Ivan Saroka:
Senior Quant, Schonfeld
Ivan Saroka:
Vladimir Lucic
Head of Quants, Marex Solutions & Visiting Professor, Imperial College London
Vladimir Lucic
Vladimir Lucic: Head of Quants, Marex Solutions & Visiting Professor, Imperial College London
Arun Verma:
Arun Verma:
Arun Verma: Head of Quantitative Research Solutions, Bloomberg
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.
Jörg Kienitz:
Independent Consultant, Adjunct Prof (UCT), Assistant Prof (BUW)
Jörg Kienitz:
Jörg Kienitz: Independent Consultant, Adjunct Prof (UCT), Assistant Prof (BUW)
Jörg Kienitz is a partner at Quaternion, Acadia’s Quant Services division. He owns the finciraptor.de website – an educational platform for Quantitative Finance and Machine Learning. Jörg consults on the development, implementation, and validation of quantitative models. He is an Assistant Professor at the University of Wuppertal and an Adjunct Associate Professor in AIFMRM at the University of Cape Town. He regularly addresses major conferences, including Quant Minds, RISK or the WBS Quant Conference. Jörg has authored four books, Monte Carlo Frameworks (with Daniel J. Duffy), Financial Modelling (with Daniel Wetterau), and Interest Rate Derivatives Explained I and II (with Peter Caspers). He also co-authored research articles that appeared in leading journals like Quantitative Finance, RISK or Mathematics in Industry.
Saeed Amen
Saeed Amen
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.
Sébastien Valeyre:
Portfolio Manager, Machina Capital
Sébastien Valeyre:
Sébastien Valeyre: Portfolio Manager, Machina Capital
Sébastien Valeyre is the portfolio manager of Machina Capital’s systematic futures strategy, Machina Electron. Machina Capital is a Paris-based investment firm, founded by seasoned equity derivatives traders and quantitative researchers. The firm specializes in mid-frequency systematic strategies for equities and futures, aiming to generate absolute and uncorrelated returns.
Prior to joining Machina Capital, Sébastien was a partner at John Locke Investments, where he launched a statistical arbitrage fund, the John Locke Equity Market Neutral Fund. Sébastien successfully managed this equity strategy while also contributing research to the firm’s systematic CTA strategy. Before that, Sébastien was head of research at BPHI Capital, which employed a blended fundamental and quantitative approach. Sébastien began his career at France’s Authority of Nuclear Safety and Atomic Energy Commission.
Sébastien holds a PhD in Economics from Sorbonne Paris Cité University, a Master of Science from Imperial College, a Master of Science in Finance from Dauphine University, and a Master of Science in Physics from École Supérieure de Physique et Chimie Industrielles de Paris (ESPCI).
Harsh Prasad:
Harsh Prasad:
Harsh Prasad: Principal & CEO, Qxplain
Harsh is currently the Principal & CEO at Qxplain, he previously worked at Morgan Stanley in the 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.
Marco Bianchetti:
Head of Internal Model Market Risk, Intesa Sanpaolo
Marco Bianchetti:
Marco Bianchetti: Head of Internal Model Market Risk, Intesa Sanpaolo
Marco holds a M.Sc. in theoretical nuclear physics (1995) and a Ph.D. in theoretical condensed matter physics (2000) from Università degli Studi di Milano. In 2000 he joined the Financial Engineering team of Banca Caboto (now IMI CIB Division of Intesa Sanpaolo), developing pricing models and applications for trading desks. In 2008 he moved to the Financial and Market Risk Management area of Intesa Sanpaolo. In 2015 he was appointed head of Fair Value Policy, developing the global fair/prudent/IPV policies and the valuation risk management framework of Intesa Sanpaolo Group. In 2021 he was appointed head of IMA Market Risk, in charge of regulatory market risk models and RWAs under Basel 2.5 and FRTB. Since Sept. 2024 he is head of Market and Counterparty Risk IMA Methodologies for Intesa Sanpaolo Group.
His work covers pricing and risk management of financial instruments, market risk, valuation risk, interest rates, XVAs, quasi-Monte Carlo, financial bubbles and portfolio optimization. He is the author of a few research papers, adjunct professor at Università di Bologna (2015-present) and at Università di Torino (2018-2023), member of Conference/Ph.D/Master Advisory Boards, and a frequent speaker at international conferences.
See also the LinkedIn profile.
Sergei Kucherenko
Senior Research Fellow, Imperial College
Sergei Kucherenko
Sergei Kucherenko: Senior Research Fellow, Imperial College
Sergei Kucherenko earned his MSc and PhD in applied mathematical physics from the Moscow Engineering Physics Institute in Russia. He has held several research and academic positions at universities across Russia, the United States, the UK, and Italy. Additionally, he has experience working in investment banking. Currently, he is a Senior Research Fellow at Imperial College London. He is also affiliated with BRODA Ltd., specialising in the application of Monte Carlo and Quasi-Monte Carlo methods, along with other advanced numerical techniques, in quantitative finance.