Mon Feb 25 +08 - Tue Feb 26 +08 (almost 3 years ago)
In your timezone (EST): Sun Feb 24 7:00pm - Tue Feb 26 4:00am
Grand Copthorne Waterfront Hotel
392 Havelock Rd, Singapore 169663
The artificial intelligence and machine learning revolution is beginning to make its mark in the quantitative analytics space as these techniques could potentially transform the way the front office manages trading and risk. However, these complex technologies come with their own set of technical challenges, including having the proper data and the constant need for refinements. There are other business considerations, such as the cost of innovation and success rates of existing projects that may slow down the adoption of these technologies. Financial institutions across the APAC region are trying to see how best to leverage on machine learning techniques and artificial intelligence in the quantitative analytics space tooptimiseand improve the efficiency of their processes.
Attending this premier GFMI conference will help delegates understand the intricacies of machine learning techniques in addition to their applications in the front office and trading as the advancements of machine learning and artificial intelligence becomes ripe for innovation. Practical, real world examples of managing the data challenges of machine learning models and the continuous monitoring to be done will be discussed as well as the budding use of alternative data sources. See how financial institutions are testing the technology and justifying the cost of implementation of these hot technologies in the quantitative analytics space. Detailed case studies will present how machine learning tools, when used effectively, can potentially benchmark client prices, predict market signaling and alleviate the huge computational challenges of XVA calculations, so that delegates leave the event with a clear road map for the next steps in progression.
Head of Consumer Data Science and Innovation, Wells Fargo India Solutions, India
Head of APAC Equity Quant, Societe Generale, Hong Kong
Associate Director, Quantitative Support (Strategic Trading and Funding), ANZ, Singapore
Head: Data Science for Big Data Analytics Center of Excellence, DBS, Singapore
Executive Director of the Electronic Trading Strategist Group, Asia, Morgan Stanley, Hong Kong
Director, eFX, Commerzbank, Singapore
Director of Quantitative Research, Equities, Morningstar, Australia
Raphael de Santos
Director, Global Head of Derivatives in Asset Valuation and Analytics, Blackrock, Singapore
• SAVVY Investor