Machine Learning in Finance Japan
This training course will provide delegates with an in-depth, technical understanding of machine learning applications, models, and more advanced tools and solutions through a quantitative approach.

This training course will provide delegates with an in-depth, technical understanding of machine learning applications, models, and more advanced tools and solutions through a quantitative approach.
Speakers

Hiroyasu Hirayama
CEO
P05 technologies, Inc.
Hiroyasu Hirayama, CEO, P05 Technologies, Inc.
Hiroyasu works as a CEO for P05 Technologies, Inc. After having worked as head of FX at Deutsche Bank, BNP Paribas, RBS and RBC., he set up Subak Technologies Inc., where he developed credit scoring models based on machine learning algorithms.

Daigo Honda
group manager
Linea Co., Ltd
Daigo Honda is the manager of the Mathematical Engineering Group in Linea Co., Ltd., where he has been responsible for the products utilizing financial engineering and machine learning. Since he joined the company in 2014, he developed and managed solutions in the following fields: pricing and risk measurement of derivatives and structured products, credit risk modeling utilizing machine learning, behavioral option modeling of core deposits and loan prepayment, etc. He holds a Ph.D. in Theoretical Physics from the University of Tokyo.

Fumio Ishizaki
chief researcher
AI Finance Application Research Institute
Fumio Ishizaki is the Chief Researcher for AI Finance Application Research Institute. He worked at universities for more than twenty years. He has published papers in the area of applied probability, communication networks and so on. He received Dr. Eng. from Kyoto University.

Shunsuke Ohkoda
chief engineer
Linea Co., Ltd.
Shunsuke Ohkoda is the Chief Engineer for Linea. Co., Ltd. He has engaged in application development using financial engineering, and AI projects in finance since he joined the company in 2015. Recently he has been responsible for research and development of earnings forecast modeling and economic network analysis with machine learning and AI.
He holds a Doctor’s Degree in theoretical physics from the University of Osaka.

Yutaka Sakurai
Director-general
AI Finance Application Research Institute
Yutaka Sakurai is data science and AI expert with a strong background in Financial theory and practice. After more than twenty years' experience of fund manager, trader and quant in Bank of Tokyo-Mitsubishi and Sony Bank, he became a managing director of Research and Pricing Technology Inc. in 2010. He started AI Finance Application Research Institute in 2017. He published a number of books on Finance and AI.

Makoto Shibata
Head of FINOLAB, Chief Community Officer
FINOLAB
Mr. Shibata is currently in charge of FINOLAB community operation. In his former position at The Bank of Tokyo-Mitsubishi UFJ, he was leading R&D initiatives in emerging technology and online/mobile financial service. He also held positions in corporate planning, accounting, corporate finance and retail customer services at the bank. He is one of the founders of FINOVATORS and Executive Fellow at Japan Digital Design. He holds a Bachelor of Economics from University of Tokyo and a Master of Science in Development Economics from University of Oxford.

Training

Networking
Group Discussion

Learning Outcomes
- Best practice approaches to machine learning applications in finance from a quantitative viewpoint
- The capabilities of machine learning tools in portfolio construction, trading, risk management and beyond
- Insight into the big data revolution and the building blocks of machine learning tools in finance
- The theory behind machine learning, deep learning and neural networks, and how these methods can be applied in your organization
- A clear view of ML/AI capabilities, how they can help you solve problems more effectively and drive your business forward
- Get to grips with modern data analysis, structured and unstructured data and new models

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

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
You are brilliant. My team are outsourcing most if not all of our training to you at the moment.
Mizuho
One of the best seminars I have attended. I liked the way actual experiences with products discussed were integrated into the presentations
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BNY Mellon
Very dynamic. Nice to have various different speakers. Very good to have full-time presence from Risk Training logistics staff. Speakers were all very technical and worthwhile
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European Central Bank
Excellent industry history and in-depth knowledge
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Barclays
Knowledgeable speakers and thoughtful presentations
Accenture
The speakers were very good and the topic was very interesting to me
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BBVA
The learning is mutual when delegates and speakers bring such rich experience from industry and academia. Also inspiring to see so many senior people so motivated to learn new things.
Morgan Stanley
Companies who trust us with their Risk Management Training


HSBC Global Markets offer sophisticated 24-hour coverage across our main trading and sales platforms in London, New York and Hong Kong, and we provide a wide range of solutions for our Corporate and Institutional clients. Our knowledge of local markets, coupled with HSBC's global reach, enables us to provide a comprehensive and bespoke service across every major asset class.
We provide access to Equities, Fixed Income including Credit and Rates, Foreign Exchange, Commodities and Prime Services, in addition to Research, across both developed and emerging markets.
As a global investor, by partnering with us you'll benefit from HSBC's local knowledge in over 60 countries, balanced by our understanding of global economics.
Find out more about our solutions or explore our thought leadership series on the Dealing Room of Tomorrow.




普华永道 - 中国內地、香港、澳门、台湾及新加坡
普华永道中国內地、香港、澳门、台湾及新加坡成员机构根据各地适用的法律协作运营。整体而言,员工总数约21,000人,其中包括约850名合伙人。
无论客户身在何处,普华永道均能提供所需的专业意见。我们实务经验丰富、高素质的专业团队能聆听各种意见, 帮助客户解决业务问题,发掘并把握机遇。我们的行业专业化有助于就客户关注的领域共创解决方案。
我们分布于以下城市:北京、上海、香港、沈阳、大连、天津、济南、青岛、南京、苏州、杭州、宁波、合肥、郑州、武汉、长沙、西安、成都、重庆、昆明、厦门、广州、深圳、澳门、海口、台北、中坜、新竹、台中、台南、高雄和新加坡。



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