Machine Learning Sydney

Join leading risk, finance, compliance, operations practitioners, machine learning experts, data officers and buy-side professionals to discuss potential benefits and risks for financial stability that should be monitored as machine learning is widely adopted across the business at the training course. <br /> <br />

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Machine Learning in Finance

26 - 27 November 2018
The Westin Sydney
 

Agenda   Registration

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Johnson Poh

Head Data Science

DBS BANK

Johnson is currently Head Data Science for Big Data Analytics at DBS Bank where he drives the development of core data science capabilities for enhancing decision analysis. He holds an adjunct faculty appointment at SMU School of Information Systems and his focus areas include applied statistical computing, machine learning as well as big data tools and techniques. He was formerly Chief Data Scientist, ASEAN at Booz Allen Hamilton as well as Head Data Science/ Principal Data Scientist at the Ministry of Defence, Singapore.

An avid programmer and data enthusiast, Johnson enjoys developing apps and data products. Most recently, he was awarded first prize in Singapore’s largest coding competition, Smart Nation [email protected] 2015 as well as the CapitaLand Data Challenge 2016.

Johnson completed his bachelor’s degree at University of California, Berkeley, majoring in the subjects of Pure Mathematics, Statistics and Economics. He received his postgraduate degree in Statistics at Yale University.

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Hillel Raz

Chief Scientist

BondIT

Hillel is a co-founder of BondIT and holds the position of Chief Scientist. He holds a Ph.D. in mathematical physics from the University of California, Davis. His thesis required solving multi body problems in statistical mechanics, both in classical and quantum frameworks.

Hillel was a postdoctoral fellow at Cardiff University, Wales and a visiting postdoctoral fellow at the Weizmann Institute. His well published paper dealt with graph theory, in both quantum and classical graphs, and explains the way a particular operator behaves in various conditions.

As the Tech Co-founder, he is responsible for many of the proprietary and original algorithms used in BondIT that sets the formulations of the solution for portfolio construction and rebalancing.

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Harsh Prasad

Vice President

Morgan Stanley

Harsh started his career as a programmer working on various search and pattern recognition algorithms including AI techniques, across radio astrophysics, bioinformatics and speech recognition. He then transitioned to financial risk domain and for the last decade has worked in many regulatory jurisdictions with banks and finance companies as well as consulting firms focussed on quant modelling. In this period he has applied Machine Learning techniques to behavioural modelling for ALM, mortgage risk modelling, derivatives pricing, time series outlier detection and risk data management. He has been a guest faculty with B schools and is currently authoring a book titled ‘Machine Learning for Finance’. 

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Mohammad Yousuf Hussain

Senior Technology & Innovation Specialist, Applied Innovation & Strategic Investments

HSBC

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Aditya Mehta

Innovation Analyst at Applied Innovation and Strategic Investments

HSBC

Aditya Mehta is an Innovation Analyst at HSBC. Working in the Applied Innovation and Strategic Investments team, he is designing and delivering artificial intelligence based solutions for various businesses of the bank. He started programming at a very early age, becoming an Oracle Certified Java Developer at just age 13.

His passion for Data Science and Analytics led his to become part of the Applied Innovation team at HSBC as part of the FinTech Career Accelerator Program 2.0 by the Hong Kong Monetary Authority and ASTRI, where he is one of the youngest members of the team. He is concurrently pursuing his double degree in Computer Science and Finance from the University of Hong Kong.

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Moving towards a data-driven finance world:

  • In-depth understanding of machine learning applications
  • How to apply artificial intelligence and data analytics in financial market
  • Understanding fundamentals of machine learning methodology
  • Learn the theory behind machine learning, deep learning and neural networks
  • Gain insights into the latest and most widely used industry applications
  • Get a clear view of ML/AI capabilities in finance to drive your business forward

VIEW AGENDA

The Westin Sydney

1 Martin Pl
Sydney NSW 2000
Australia
T: +61 2 8223 1111

Venue information

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Course highlights
  • In-depth understanding of machine learning applications
  • How to apply artificial intelligence and data analytics in financial market
  • Understanding fundamentals of machine learning methodology
  • Learn the theory behind machine learning, deep learning and neural networks
  • Gain insights into the latest and most widely used industry applications
  • Get a clear view of ML/AI capabilities in finance to drive your business forward
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Who Should Attend

This workshop is specifically designed for professionals working for financial institutions, buy-side firms, regulatory bodies, advisory firms and technology sector however Risk Training welcomes anyone who would benefit from this training. Specific job titles may include but are not limited to:

  • Machine learning
  • Portfolio management
  • Asset allocation
  • Data science
  • Financial engineering
  • Quantitative analytics
  • Quantitative modelling
  • Innovation
  • Forecasting
  • Infrastructure and technology
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Learning outcomes
  • Understand different types of machine learning models and how they can be applied in practice
  • Learn about capabilities of machine learning tools in portfolio construction, trading and risk management
  • Find out the theory behind machine learning, deep learning and neural networks, and how these methods can be applied in your organisation
  • Hear from expert speakers on case studies and real use-cases of machine learning in finance
  • Ask your questions to our expert speakers during our special one-hour Q&A session!  

 

Registration details

Package Discounts

Package discounts are available for groups of four or more colleagues from the same organisation that register for the course.

To apply for the discounts or for more information, please reach out to Crystal by email at [email protected] or by phone on +852 3411 4856.

Training Materials

Please note that presentation materials are distributed electronically and attendees are required to bring a laptop or tablet to the course with them to access the slides. Due to the business-sensitive nature of some of the topics discussed, there are occasions when speakers do not allow us to distribute their presentations.

CFA Institute is the global association of investment professionals that sets the standard for professional excellence and credentials. The organization is a champion of ethical behavior in investment markets and a respected source of knowledge in the global financial community. There are more than 154,000 CFA charterholders worldwide in 165+ countries and regions, as well as 151 local member societies.www.cfainstitute.org
 
The CFA Institute Asia-Pacific Research Exchange (ARX) is a research hub bringing together like-minded finance and investment management professionals to share, learn and engage on industry topics and trends specific to the Asia-Pacific region. Learn more at www.arx.cfa