Khai San Banh
CEO and Co-founder
- 15+ years experience working at HSBC covering a wide number of senior roles in the area of Risk Management and Decision Science across the entire credit lifecycle across Asia Pacific.
- Co-Founder and managing partner at Sprint Milestone to leverage her extensive knowledge and experience to help clients manage their businesses in a more affordable and visual way with data analytics.
- Analytic expertise includes data visualization, credit scoring, predictive modeling, stress testing, loss forecasting and decision optimization.
- Khai San excels in transforming complex analytic problems into simple business solutions. She is an excellent agent of change and innovative leader who is continuously at the forefront of new analytic developments to transform the way of doing business.
Raja Debnath is a Growth Hacker in MSME and Retail Banking and has advised over 40 financial institutions and Fintechs globally in the areas of Retail & SME Banking Digital Transformation, Data Analytics, Supply Chain Finance and Non-financial Services. He is the Managing Partner at Cogence Labs - a full-service technology enabled management consulting firm exclusively focused on advising FIs on Retail and MSME Banking. He is also the Co-Founder of two technology firms that provide enterprise applications in Lending, DW-BI, SCF to the BFSI sector.
Prior to this he was the Senior Global SCF and SME Banking Advisory Specialist for Asia at International Finance Corporation after having advised banks extensively across the Middle East, and Central Asia. Prior to that he was with EY, India as a Consumer and SME Banking Specialist. Earlier he had setup the Micro and Small Enterprise Unsecured Lending Business at Kotak Mahindra Bank in India.
He is an Advisor for the SME Finance & Alternative Data Certification program at London Institute of Banking and Finance. He holds an MBA from the Said Business School at Oxford University and an MBA from Jamnalal Bajaj Institute of Management Studies (JBIMS) at Mumbai University.
David R. Hardoon, PhD
Senior Advisor for Data and Artificial Intelligence
David is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines.
Concurrently David is an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) in the capacity of Senior Advisor (Artificial Intelligence) and to Singapore's Central Provident Fund Board (CPF) in the capacity of Senior Advisor (Data Science).
Prior to his current roles, David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group reporting to the agency Deputy Managing Director for Financial Supervision and subsequently Special Advisor (Artificial Intelligence) reporting to Deputy Managing Director for Markets and Development. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows.
David has extensive exposure and experience in both industry and academia and he has consistently applied advanced technology with an analytical mindset to shape and deliver new innovation. David holds a PhD in Computer Science in the field of Machine Learning from the University of Southampton and graduated from Royal Holloway, University of London with First Class Honors B.Sc. in Computer Science and Artificial Intelligence. Out in the "field", David is more likely to consider himself a data artist instead of a pure data scientist.
Credit Risk Manager
New Development Bank
Sidharth Kamani is an FRM certified Risk professional. He currently manages Credit Risk at New Development Bank, a multilateral institution founded by the Governments of the BRICS countries. At NDB, he is responsible for credit appraisals and pricing of the bank's lending products in hard currencies and in local currencies. Prior to his current role, he worked with Goldman Sachs in the Market risk and Treasury functions, where he gained hand-on experience working on various risk regulations such as CCAR, LCR and NSFR. Sidharth's interests lie in the areas of international finance, sovereign risk analysis, infrastructure financing and the evolving landscape of digital finance.
Ex-Head of Market Data and Middleware, Asia Pacific
Jack was leading the market data team for Societe Generale in Asia Pacific. The team is responsible for both commercial and technical aspects of market data services. Jack joined Societe Generale late 2006. He was appointed as the Head of Network and Telecom for Asia in 2010, then changed into the market data field acting as the Head of Market Data and Middleware since 2015. Prior joining Societe Generale in Hong Kong, Jack was working for an IT consultancy firm based in Australia for 4 years specializing in Network Security.
Data Science Architecture & Engineering Head
Passionate about finding value in data and technology. Currently leading & building a data architecture team and working on initiatives such as Data Science Platform, Data Strategy & Data Governance supporting Digital Innovation and Transformation.
Previously worked in Financial sector including Monetary Authority of Singapore and provided Advisory & Consultancy through EY, Accenture & SAS.
Karen is a Consulting Director in the advisory practice of PwC Hong Kong. She has over 11 years of professional experience in both banking and risk management consulting services to local, mainland and international banks. Karen has extensive hands-on experience in IFRS 9 implementation, credit risk model development and validation, Basel II planning / implementation, stress testing, rating and credit process, portfolio management and compliance assessment. Prior to joining PwC, she worked on a range of business analytics and sales management projects focusing on predictive modelling, customer experience, marketing campaign management and liquidity control. Her technical competencies include a deep knowledge of statistical and data mining techniques using SAS, R, Tableau, VBA and Python.
Karen holds a Master degree from the Chinese University of Hong Kong in Risk Management Science and a Bachelor degree from the Hong Kong University of Science and Technology in Finance and Information Systems. She is a Chartered Financial Analyst and Certified FRM.
Professor, Department of Mathematics and Information Technology
The Education University of Hong Kong
Philip Yu is a Professor at Department of Mathematics and Information Technology of The Education University of Hong Kong, and Honorary Professor, Department of Computer Science, The University of Hong Kong. Before joining the Education University of Hong Kong, he worked at the University of Hong Kong and was the Chairperson of the Asian Region Section of the International Association of Statistical Computing, the Vice President of the Hong Kong Statistical Society, and a member of the Technical Committee of Computational Finance and Economics, IEEE Computational Intelligence Society. He is an associate editor of Frontiers in Artificial Intelligence, Digital Finance, and Computational Statistics. The Hong Kong FinTech Index Project led by him is the first in the region to provide information in a timely manner to track the growth and development of the FinTech industry in Hong Kong. His research interests are broad; they include AI and big data analytics, non-parametric inference, ranking methods, time series analysis, financial data analysis, risk management and statistical trading. He has a substantial volume of work on most of these topics, including two co-authored books on nonparametric statistics and more than 120 publications in conference proceedings and professional journals.