World Business StrategiesServing the Global Financial Community since 2000

Main Conference Day 1:

Thursday 18th May

08.00 – 09.00: Registration and Morning Welcome Coffee

AI & Machine Learning Stream

09.00 – 09.45: Generative Deep Learning in Quant Finance

Topic to be confirmed

Andrew Green: 

Managing Director and Lead GFI Quant, Scotiabank

Andrew Green: Managing Director and Lead GFI Quant, Scotiabank

Andrew Green is a Managing Director and lead XVA Quant at Scotiabank in London. Prior to joining Scotiabank, Andrew held roles as a quantitative analysis in several different banks in London. He is the author of XVA: Credit, Funding and Capital Valuation Adjustments, published by Wiley. 

AI & Machine Learning Stream

09.45 – 10.30: Autoencoder Market Models for Interest Rates

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.

10.30 – 11.00: Morning Break and Networking Opportunities

AI & Machine Learning Stream

11.00 – 11.45: Derivatives Pricing with Sobolev Deep Learning

  • Motivation: Fast and Stable Deep Learning
  • An Introduction to Sobolev Deep Learning Universal Representation
  • Theorem on Sobolev Spaces
  • Practical Numerical Implementation Applications

Youssef Elouerkhaoui:

Managing Director, Global Head of Markets Quantitative Analysis, Citi

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.

AI & Machine Learning Stream

11.45 – 12.30: Topic and Presenter to be confirmed

12.30 – 13.45: Lunch

AI & Machine Learning Stream

13.45 – 14.30: Sentiment Investing, with Applications for Alpha and Risk Modelling

Caio Natividade:

Global Head of Quantitative Investment Solutions Research, Deutsche Bank

Caio Natividade: Global Head of Quantitative Investment Solutions Research, Deutsche Bank

Caio Natividade is a Managing Director and Global Head of Quantitative Investment Solutions Research at Deutsche Bank. The work of his team includes signal generation, portfolio construction and risk estimation across multiple frequencies, styles and products across asset classes. Since joining DB in 2002, Caio’s research experience includes fixed income and FX research for EMEA countries, options strategy in FX and commodities, and cross-asset quantitative research. Caio’s work has earned considerable recognition over the years, with accolades including top ranks at Institutional Investor, Risk Magazine Awards, Euromoney and Eleonora Emerging Markets. Caio holds a BSc in Finance from Lancaster University and an MSc in Financial Mathematics from King’s College London.

AI & Machine Learning Stream

14.30 – 15.15: Using Machine Learning for Calibration & Pricing of Financial Instruments

Arun Verma:

Head of Quantitative Research Solutions, Bloomberg, LP

Arun Verma: Head of 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.

15.15 – 15.45: Afternoon Break and Networking Opportunities

AI & Machine Learning Stream

15.45 – 16.30: Semi-Analytic Conditional Expectations and Applications

We introduce a data driven and model free approach for computing conditional expectations. The new method combines Gaussian Mean Mixture models with classic analytic techniques based on the properties of the Gaussian distribution. As applications we consider

  • Proxy hedges
  • Bermudan options
  • Stochastic Local Volatility
  • Forward Backward Stochastic Differential Equations

Jörg Kienitz:

Quantitative Finance and Machine Learning, Acadiasoft

Jörg Kienitz: Quantitative Finance and Machine Learning (Acadiasoft), Partner (Quaternion), 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.

AI & Machine Learning Stream

16.30 – 17.30: Machine Learning Models Panel – Present and Future

ML models for valuation, XVA, and risk

  • Is ML a new numerical method, a new way to specify the model, or a new paradigm?
  • Does ML training replace model selection, or model calibration?
  • How do we know if we are truly learning or just interpolating?
  • Is there enough historical data to train ML models?
  • Trusted ML in quant finance – will the regulators accept ML model

Natural language processing (NLP) and sentiment analysis in quant finance

  • Is there usable sentiment data in news? Social media? Company filings?
  • How will sentiment be used for alpha generation? Valuation and XVA? Risk?
  • What matters more in recognizing sentiment – Speed? Quality? Stability?

ML and investing

  • Will ML revolutionize fundamental analysis?
  • Will ML enable the use of alternative data in new ways?
  • Does ML have a role in integrating ESG in the investment process?

Moderator:

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.

Diana Ribeiro: 

Quant Director, Citi

Diana Ribeiro: Quant Director, Citi

Diana Ribeiro joined Citi in May 2022 to lead the CCR RWA Front Office team. She joined from Lloyds Banking group where she was the Deputy Head of FO Pricing Models. She started her career in quantitative research at Lehman Brothers in 2005 and has built extensive technical and leadership expertise in Interest Rates and Inflation since then. She is a regular speaker at international conferences, where she both presents her research work and serves as chair. Diana holds a PhD and a MSc in Financial Mathematics from the University of Warwick.

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.

Gordon Lee:

Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

Gordon Lee: Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

Marco Bianchetti:

Head of Internal Model Market Risk, Intesa Sanpaolo

Marco Bianchetti: Head of Internal Model Market Risk, Intesa Sanpaolo

Marco Bianchetti joined the Market Risk Management area of Intesa Marco joined the Financial and Market Risk Management area of Intesa Sanpaolo in 2008. His work covers pricing and risk management of financial instruments across all asset classes, with a focus on new products development, model validation, model risk management, interest rate modelling, funding and counterparty risk, fair and prudent valuation, applications of Quasi Monte Carlo in finance. He is in charge of the global Fair Value Policy of Intesa Sanpaolo group since Nov. 2015. Previously he worked for 8 years in the front office Financial Engineering area of Banca Caboto (now Banca IMI), developing pricing models and applications for interest rate and inflation trading desks. He is adjunct professor of Interest Rate Models at University of Bologna since 2015, and a frequent speaker at international conferences and trainings in quantitative finance. He holds a M.Sc. in theoretical nuclear physics and a Ph.D. in theoretical condensed matter physics.

17.30 – 19.00: Drinks Reception

08.00 – 09.00: Registration and Morning Welcome Coffee

Latest Quantitative Modelling & Regulations Stream

09.00 – 09.45: Latest FRTB Update

Adolfo Montoro:

Director, Global Market Risk Analytics, Bank of America

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.

Latest Quantitative Modelling & Regulations Stream

09.45 – 10.30:

‘Considerations on Fourier valuation in high dimensions’ (Topic to be confirmed)

Laura Ballotta:

Prof. of Mathematical Finance, Bayes Business School (formerly Cass)

Laura Ballotta: Prof. of Mathematical Finance, Bayes Business School (formerly Cass)

Dr Ballotta 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.

Recent major contributions have appeared in Journal of Financial and Quantitative Analysis, European Journal of Operational Research and Quantitative Finance among others.
She serves as associate editor and referee for a number of international journals in the field.

Laura Ballotta obtained her PhD in Mathematical and Computational Methods for Economics and Finance from the Università degli Studi di Bergamo (Italy), following her BSc in Economics from Università Cattolica del Sacro Cuore, Piacenza (Italy), and MSc in Financial Mathematics from the University of Edinburgh – jointly awarded with Heriot-Watt University (UK). Laura has previously held positions at Università Cattolica del Sacro Cuore, Piacenza (Italy), and Department of Actuarial Science and Statistics, City University London (UK).

10.30 – 11.00: Morning Break and Networking Opportunities

Latest Quantitative Modelling & Regulations Stream

11.00 – 11.45: Wrong-way Risk and Leverage

Overcoming modelling challenges to more accurately model XVA

Matthias Arnsdorf:

Global head of Counterparty Credit Risk Quantitative Research, J.P. Morgan

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.

Latest Quantitative Modelling & Regulations Stream

11.45 – 12.30: Model-Agnostic Pricing of Exotic Derivatives Using Signatures

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.

Gordon Lee:

Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

Gordon Lee: Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

12.30 – 13.45: Lunch

Latest Quantitative Modelling & Regulations Stream

13.45 – 14.30: Joint Modelling of CMS rates in a Risk-Free Rate framework

Elias Daboussi:

Quantitative Analyst, Bank of America Merrill Lynch

Elias Daboussi: Quantitative Analyst, Bank of America Merrill Lynch

Elias Daboussi is a quantitative analyst at Bank of America since 2016. After graduating from University Paris-Diderot and Supelec in 2014, he has specialized in the Rates and Hybrids area, first in the Model Risk Management Group, and now as part of the Quantitative Strategies Group.

Latest Quantitative Modelling & Regulations Stream

14.30 – 15.15: Efficient Valuation of Mid-curve Swaptions

Abstract: We consider a model for midcurves that that respects relevant swaption skews, allows a flexible correlation structure and accounts for the stochasticity of annuities. Furthermore, we present a method to evaluate the model efficiently.

 

Wen Jiang

Executive Director, Head of Structured Rates Quantitative Research, Nomura

Wen Jiang: Executive Director, Head of Structured Rates Quantitative Research, Nomura

After completing a D.Phil. in Mathematics from Oxford, Wen has worked at Lehman Brothers and Morgan Stanley, and has been at Nomura since 2009. He leads the Structured Rates Quant team in Nomura Global Markets, based in London.

15.15 – 15.45: Afternoon Break and Networking Opportunities

Latest Quantitative Modelling & Regulations Stream

15.45 – 16.30: Collateralised Exposure Modelling: Bridging the Gap Risk

Fabrizio Anfuso:

Traded Risk Measurement, PRA, Bank of England

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). 

Both Streams

16.30 – 17.30: Machine Learning Models Panel – Present and Future

ML models for valuation, XVA, and risk

  • Is ML a new numerical method, a new way to specify the model, or a new paradigm?
  • Does ML training replace model selection, or model calibration?
  • How do we know if we are truly learning or just interpolating?
  • Is there enough historical data to train ML models?
  • Trusted ML in quant finance – will the regulators accept ML model

Natural language processing (NLP) and sentiment analysis in quant finance

  • Is there usable sentiment data in news? Social media? Company filings?
  • How will sentiment be used for alpha generation? Valuation and XVA? Risk?
  • What matters more in recognizing sentiment – Speed? Quality? Stability?

ML and investing

  • Will ML revolutionize fundamental analysis?
  • Will ML enable the use of alternative data in new ways?
  • Does ML have a role in integrating ESG in the investment process?

Moderator:

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.

Diana Ribeiro: 

Quant Director, Citi

Diana Ribeiro: Quant Director, Citi

Diana Ribeiro joined Citi in May 2022 to lead the CCR RWA Front Office team. She joined from Lloyds Banking group where she was the Deputy Head of FO Pricing Models. She started her career in quantitative research at Lehman Brothers in 2005 and has built extensive technical and leadership expertise in Interest Rates and Inflation since then. She is a regular speaker at international conferences, where she both presents her research work and serves as chair. Diana holds a PhD and a MSc in Financial Mathematics from the University of Warwick.

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.

Gordon Lee:

Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

Gordon Lee: Head of XVA and Derivatives Quantitative Analytics, BNY Mellon

Marco Bianchetti:

Head of Internal Model Market Risk, Intesa Sanpaolo

Marco Bianchetti: Head of Internal Model Market Risk, Intesa Sanpaolo

Marco Bianchetti joined the Market Risk Management area of Intesa Marco joined the Financial and Market Risk Management area of Intesa Sanpaolo in 2008. His work covers pricing and risk management of financial instruments across all asset classes, with a focus on new products development, model validation, model risk management, interest rate modelling, funding and counterparty risk, fair and prudent valuation, applications of Quasi Monte Carlo in finance. He is in charge of the global Fair Value Policy of Intesa Sanpaolo group since Nov. 2015. Previously he worked for 8 years in the front office Financial Engineering area of Banca Caboto (now Banca IMI), developing pricing models and applications for interest rate and inflation trading desks. He is adjunct professor of Interest Rate Models at University of Bologna since 2015, and a frequent speaker at international conferences and trainings in quantitative finance. He holds a M.Sc. in theoretical nuclear physics and a Ph.D. in theoretical condensed matter physics.

17.30 – 19.00: Drinks Reception

  • Discount Structure
  • Super early bird discount
    30% until 24th February 2023

  • Early bird discount
    25% until 31st March 2023

  • Early bird discount
    15% until 28th April 2023

  • Special Offer
    When two colleagues attend the 3rd goes free!

  • 70% Academic Discount
    (FULL-TIME Students Only)

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