Agenda

agenda

Alternative Data in Banking | Agenda

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Live virtual course | Agenda timing is in HKT/SGT

Respective time in AEST:
Start: 11:00am
Break: 1:00pm
Finish: 2:15pm
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09:0010:00

Overview of alternative data (alt data)

10:00 - 11:00

  • What is alt data?
    • Classification of alt data
    • Data source 
  • Comparing traditional data and alt data: the difference and advantages
  • Current applications of alt data in financial organizations 
  • How alt data is changing the financial industry?
Girish Nair, Ph.D.

Global Quantitative Strategy

Bank of America

Girish is a Director and a member of the Global Quantitative Strategy team. He joined BofA in 2004 in Australia, and spent five years in Hong Kong (2010-15) to leverage the Quantitative team’s Asia-Pacific coverage. He continues to work closely with the team’s global head, Nigel Tupper. Girish previously worked for Ord Minnett in Sydney as a Business/Systems Analyst. Prior to that, he worked as a Financial Analyst/Programmer with a number of global securities houses. Girish received his Ph.D. in Data science from Western Sydney University (Australia), MBA from the University of Technology Sydney (Australia), and BBA in Managerial Accounting/IT from Gujarat University (India) and an Advanced Diploma in Software Engineering from Aptech (India). He is based in Sydney.

10:0011:00

Alternative data and credit assessment

10:00 - 11:00

  • Employing alt data in credit assessment: what are the benefits?
  • Becoming the credit ‘visible’  
  • How alt data help to predict credit risk
  • The application of artificial intelligence, machine learning and deep-learning 
  • Potential challenges of using alt data in credit assessment 
Sidharth Kamani

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.   

11:0011:15

Break

10:01 - 11:00

11:1512:15

Alternative credit scoring model

10:00 - 11:00

  • What is alternative credit scoring?
  • Alternative credit scoring vs. conventional credit scoring 
  • The framework of alternative credit scoring 
  • Alternative credit data sourcing 
  • Assessing the creditworthiness
  • Case study
Raja Debnath

Managing Partner

Cogence Labs

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.

09:0010:00

Managing alternative data set

10:00 - 11:00

  • Data sourcing and due diligence
  • Modelling and justifying the unstructured data set 
  • Accelerating data evaluation
  • Maximizing the data value and avoiding potential missteps  
  • Privacy-enhancing technologies (PETs)
Jordan Mizrahi

FIRST TO INVEST Ltd

CEO

Jordan Mizrahi, CEO at FIRST TO INVEST, a big data and NLP technologies to collect, structure, and reveal events from news articles, press releases, and financial social media and share it with our clients via dashboards or API.

Covering 10,000 companies globally with more than 400 events categories and subcategories. To empower the technology, a hybrid model of machine and human is being used to provide accuracy of data classification, context, and sources to ensure maximum value for our clients.

Our data and system are being used by world-leading quants, quantamental, fundamental hedgefunds and assets managers, private equity and corporates.

Jordan holds an MBA degree from WarWick business school in the UK and BA in economic for the open university in Israel.

10:0011:00

Machine Learning and alternative data

10:00 - 11:00

  • Developing machine learning models 
  • Textual analysis and data processing 
  • Sentiment analysis 
  • Seasonality testing 
  • Assessing the pattern of behavior 
Philip Yu

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.

11:0011:15

Break

10:01 - 11:00

11:1512:15

Synthetic Data for Ethical AI

10:00 - 11:00

  • What is Synthetic Data
  • Architecture and Algorithm to create Synthetic Data
  • Original data vs Synthetic Data
  • Why Synthetic Data
  • What is Ethical AI
  • Synthetic data for Ethical AI
  • Synthetic data key for Ethical AI
  • Key Takeaways
Sachin Tonk

Director Data & Privacy Operations

Standard Chartered Bank

Technology Leader with 17+ years in delivering bespoke technology solutions by engaging agile and waterfall methodologies. Seasoned in Program and Project management in Banking and Consulting Industry. Diverse professional exposure in international settings across India, Singapore, United Kingdom and the Middle East (Riyadh/Dubai).

Outstanding track record in automation, artificial intelligence, data analytics, business intelligence, Innovation, business transformation, governance, migration and architecture. Proven abilities in leading high-performing, multi-cultural and cross-functional teams in the delivery of multiple concurrent projects and operations of technology solutions.

An excellent communicator capable of translating complex technical ideas into actionable solutions. Excellent ability in engaging clients, vendors, stakeholders across all levels to bring commercial and business growth and achieve organizational KPIs.

09:0010:00

Mitigating the potential risks

10:00 - 11:00

  • Strategic risk: Does alternative data lead to reliable business insight 
  • Privacy risk: How to comply with privacy regulations 
  • Regulatory risk: Copyright, intellectual property and other potential pitfalls 
  • Model risk: The struggle to ensure the validity of a unique alt data set 
Ming Soong Tham

CEO & Principal

RiskMeisterPte. Ltd.

Ming Soong was an award winning Chief Risk Officer and served as an Adjunct Professor at the Risk Management Institute, National University of Singapore,

Ming Soong had a career of more than 30 years in the financial services industry with working experiences in Canada, The UK and Hong Kong. He had held senior positions at the UOB Bank, MAS, and the OCBC Bank. He had been involved in the implementation of the first Basel Capital Accord in 1997 while working as the Regional Head of Market Risk (APAC) for CIBC. Between December 2005 and April 2012, Ming Soong was the Group Chief Risk Officer of UOB during which he was responsible for the successful implementation of Basel II. In this role, he was also responsible for providing strategic risk management directions for the UOB Banking Group. He had responsibilities for credit, market, liquidity and operation risks of the Group’s banking, fund management and insurance business

10:0010:15

Break

10:01 - 11:00

10:1511:15

Looking ahead: the rise of alternative data in Covid-19 era and future

10:00 - 11:00

  • How alt data help understanding the impact of Covid-19? 
  • The alt data ecosystem
  • Alt data and future technology development  
  • Environmental, social and corporate governance (ESG) analysis 
Karen Wong

Consulting Director

PwC

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.