Specialist focus. Specialist knowledge.
In 2019, delegates had the opportunity to maximise their experience with our full-day summits or technical workshops
Dig deeper into the topics that matter most to you
2019 workshops and summits:
Quant Invest Summit
Monday 13 May 2019
The Quant Invest summit focuses on quantitative buy-side breakthroughs.
With perspectives from asset management firms, hedge funds and insurance companies.
Quant Tech Summit
Monday 13 May 2019
What's next in quant tech?
The unique Quant Tech Summit gives you a head start in the race to change the game. Discover what's set to be the next disruptive force in the market. Don't get left behind.
Volatility Workshop
Monday 13 May 2019
Workshop Leader: Bruno Dupire, Head Of Quantitative Research, Bloomberg L.P.
Modules will include the fundamentals of volatility, models, derivatives and trading and arbitrage.
Machine Learning in Finance Workshop
Friday 17 May 2019
Workshop Leader: John Hull, Maple Financial Professor Of Derivatives & Risk Management at Joseph L. Rotman School of Management, University of Toronto
Modules include an introduction to the world of machine learning, supervised learning, unsupervised and reinforcement learning, and how it links with other financial innovations.
Modern Option Pricing Workshop
Friday 17 May 2019
Workshop Leaders:
- Pierre Henry-Labordere, Quant, Global Markets Quantitative Research, Société Générale
- Julien Guyon, Senior Quant, Bloomberg L.P.
Modules include the particle method for smile calibration, stochastic control techniques and applications, machine learning techniques for option pricing and model-free bounds for option prices.
Demystifying AAD: Adjoint Greeks Made Easy Workshop
Friday 17 May 2019
Workshop Leaders:
- Luca Capriotti, Managing Director - Head Quantitative Strategies Global Credit Products EMEA, Credit Suisse
- Uwe Naumann, Professor of Computer Science, RWTH Aachen University
- Mike Giles, Professor of Mathematics and Department Head, University of Oxford
Modules will include the fundamentals of adjoints in finance, hands-on adjoints, advanced applications and further advanced issues in AAD.