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World Business StrategiesServing the Global Financial Community since 2000

Thursday 18th March: Day 4

Topic to be confirmed

EST: 08.00
GMT: 13.00
CET: 14.00

 

Blanka Horvath:

Honorary Lecturer, Department of Mathematics, Imperial College London

Blanka Horvath: Honorary Lecturer, Department of Mathematics, Imperial College London

Blanka is a Honorary Lecturer in the Department of Mathematics at Imperial College London and a Lecturer at King’s College London. Her research interests are in the area of Stochastic Analysis and Mathematical Finance.

Her interests include 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.

Machine Learning Applications in Trading & ESG Investing

EST: 09.00
GMT: 14.00
CET: 15.00

Presenter to be confirmed

 

Tackling Climate Change With Machine Learning

EST: 10.00
GMT: 15.00
CET: 16.00

Presenter to be confirmed

PANEL: AI Ethics and Governance

EST: 11.00
GMT: 16.00
CET: 17.00

  • Adopting standards and frameworks to validate AI
  • Balancing risk management and innovation
  • Future Challenges of AI
  • Where next and how?

Moderator:

Emre Kazim:

Research Fellow at UCL and Co-Founder of Holistic AI

Emre Kazim: Research Fellow at UCL and Co-Founder of Holistic AI

Research Fellow in the Computer Science department of University College London, working in the field of AI ethics. His research interests include – public awareness of AI and the moral and legal issues that arise within this context.

Adriano Koshiyama:

Research Fellow at UCL and Co-Founder of Holistic AI

Adriano Koshiyama: Research Fellow at UCL and Co-Founder of Holistic AI

Dr Adriano Koshiyama is a Research Fellow at University College London department of Computer Science. His research interests include Machine Learning, Finance, and Algorithmic Assessment. He is a specialist in designing trustworthy autonomous systems.

Alexander Denev:

Head of AI, Financial Services Advisory, Deloitte

Alexander Denev: Head of AI, Financial Services Advisory, Deloitte

Alexander has more than 15 years of experience in finance, financial modelling and machine learning and he is currently 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.

  • Discount Structure
  • Super early bird discount
    30% until 15th January 2021

  • Early bird discount
    15% until 12th February 2021

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

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

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