Risk Management in Financial Institutions

Mr. Rockson HSU
Executive Vice President, Chief Strategy Officer and Chief Risk Officer, Fubon Bank (Hong Kong) Limited

Mr. Hsu joined Fubon Bank in March 2023 as Executive Vice President and Chief Strategy Officer. In addition to his role as Chief Strategy Officer, he was appointed as Chief Risk Officer in February 2024 and oversees the Bank’s Group Risk Management. Mr. Hsu has over 30 years of banking experience, and possesses solid frontline and control experience from local and foreign banks including Citibank, Barclays Bank, Chong Hing Bank, Deutsche Bank and Hang Seng Bank. Prior to joining Fubon Bank, he was CEO of ZA Bank. Mr. Hsu graduated from New York University with B.S. Finance & International Business.

Regional Bank and Brokers Landscape in Hong Kong

The sharing will focus on Regional Bank and Brokers landscape in Hong Kong, the key trends we observe from the markets and how we have been helping clients in meeting regulatory requirements and enhancing their risk management.

Ms. Dorothy CHAN
Head of Regional Banks and Brokers, Bloomberg L.P. 

Dorothy Chan is the Head of Regional Banks and Brokers at Bloomberg, where she leads a team of sales professionals dedicated to helping clients achieve their target operating models through tailored, innovative solutions. With over two decades of experience spanning banking, risk management, and vendor consulting, Dorothy has cemented her reputation as a trusted advisor, adept at guiding clients through complex challenges to drive sustainable growth and operational excellence.

Before joining Bloomberg 14 years ago, Dorothy honed her expertise in risk management and corporate banking at leading financial institutions, including HSBC and SMBC.  At Bloomberg, she has held a variety of leadership roles within Financial Solutions, consistently delivering results by enabling clients to leverage cutting-edge technologies to enhance operational efficiency, risk mitigation, and strategic decision-making.

Beyond her professional achievements, Dorothy is a passionate advocate for diversity, inclusion, and corporate social responsibility. She has co-led the Bloomberg Women Community (BWC) and the Bloomberg Working Families Community (BWFC), championing initiatives that empower employees and cultivate an inclusive, supportive workplace culture. Additionally, she is deeply committed to philanthropy, leveraging Bloomberg’s global platform to drive meaningful social impact, particularly across Asia.

Dorothy holds a Bachelor’s degree in Economics and Finance from The University of Hong Kong and a Master’s degree in Corporate Governance and Professional Accounting from The City University of Hong Kong. Looking ahead, she envisions a future where innovative business strategies and corporate social responsibility are seamlessly integrated, amplifying both organizational success and societal well-being.
 

Ms. Jacy HE
Derivatives/Risk Solutions Specialist, Bloomberg L.P.

Jacy He is responsible for Bloomberg's sell-side derivatives and risk solutions in the Hong Kong and Taiwan regions. With 18 years of experience at Bloomberg, she has been pivotal in designing, implementing, and developing various risk solutions and analytics that address regulatory requirements, including FRTB, Libor Transition, new IFRS standards, Uncleared Margin Rules, IRRBB, and Basel framework upgrades.

Before joining the Sell-side Enterprise Solutions team, Jacy served as a Market Specialist, focusing on fixed income and derivatives products for the Greater China region. She played a key role in promoting and developing Bloomberg's CNH Interest Rate Derivative market since 2010, including the establishment of interest rate benchmark curves and bond markets. Prior to this, she was based in Bloomberg's New York office from 2006 to 2010, where she consulted for sell-side banks like Lehman Brothers, specializing in Structured Products and Derivatives workflows.

Jacy holds an MBA from HKUST and a dual degree in Psychology and Music Performance from Northwestern University. In her spare time, she enjoys training for marathons and playing her electric bass.

Project Insight: uncovering the complexities of global value chains

Recent shocks laid bare just how little we know about global value chains (GVCs) and how these complicated firm-level networks can spread shocks and significantly disrupt economic growth and financial markets. It is therefore important to understand GVC dependencies and monitor their shifts and trends, but there are significant data gaps. Work that the HKMA and BIS are doing through Project Insight aims to address these gaps by building a timely and comprehensive GVC monitor to help central banks and policymakers better monitor supply chain developments and their associated economic and financial impacts.

Leanne Si Ying ZHANG 
Senior Economist, Hong Kong Monetary Authority

Leanne is a Senior Economist at the Research Department of the Hong Kong Monetary Authority, where she leads Project Insight in collaboration with the Bank for International Settlements (BIS) exploring how to better monitor developments in global value chains by combining structured and unstructured granular data. Prior to her current role, she was an Advisor at the BIS Innovation Hub Hong Kong Centre, where she led central-bank-digital-currency (CBDC) and big-data-analytics projects. She has published papers on CBDC, climate risks and global supply chains, and her work has been featured in the Financial Times, The Wall Street Journal and The Economist, among others. She holds an MPhil in Economics degree from the University of Oxford, where she was a Louis Dreyfus-Weidenfeld Scholar, and an undergraduate degree in Mathematics and Economics from McGill University.

Portfolio Optimization: Machine Learning Methodologies

Dive into the future of finance with Kai, an industry expert with 17 years of experience, as he explores the transformative impact of machine learning on portfolio optimization. This presentation will highlight how machine learning is revolutionizing investment strategies, making them more efficient and data-driven. Kai will share insights into the integration of these technologies into everyday financial practices, demonstrating their value in enhancing investment outcomes and decision-making processes. Attendees will leave with a clear understanding of the practical benefits and competitive advantages that machine learning offers in the finance sector. Prepare to be inspired and informed on how to navigate and succeed in this rapidly evolving field.

Kai TAN
Co-founder, Fides Capital Group Limited

Kai Tan is an accomplished professional in the financial industry, boasting over 17 years of experience, including more than 14 years in leadership roles. Established in 2020, Fides Family Office was created to oversee the wealth and affairs of two families, one of which includes Kai Tan himself, with a rich history in investment management, real estate, education, and human resources. Fides Capital Group, a licensed corporation, is one of the operating business of Fides Family Office, manages third-party capital through an array of investment vehicles, including listed equity funds, private equity funds, debts, and alternative assets. The group capitalizes on innovative businesses and utilizes state-of-the-art resources, artificial intelligence, and machine learning to generate well-founded predictions. Combined, Fides Family Office and Fides Capital Group manage and advise assets over USD1.2 billion. 

Before co-founding Fides, Mr. Tan held senior fund management and research positions at Point 72 and Macquarie Capital Limited from 2008 to 2019. His financial industry career commenced at Lehman Brothers.

Mr. Tan's educational background includes a Master of Science Degree from The Hong Kong University of Science & Technology (HKUST) and a Bachelor's Degree in Finance with a Minor in Mathematics, also from HKUST. He is presently pursuing a Doctor of Business Administration degree at HKUST.

Prof. Kai Lung HUI
Acting Dean, Elman Family Professor of Business and Chair Professor
The Hong Kong University of Science and Technology

Professor Kai‐Lung Hui is Acting Dean of Business and Management, Elman Family Professor of Business, and Chair Professor in the Department of Information Systems, Business Statistics, and Operations Management (ISOM) at The Hong Kong University of Science and Technology (HKUST). He is also the Academic Director of the Kellogg‐HKUST EMBA program. Prof. Hui received his BBA and PhD degrees from HKUST.

Professor Hui’s research interests include cybercrime economics and policy, fintech, privacy, IT policy, and electronic commerce. His research cuts across information systems, marketing, and economics, and has been published in some of the best journals including Information Systems Research, Management Science, MIS Quarterly, and Journal of Management Information Systems, among others. He served as a Senior Editor for Information Systems Research and is currently serving as an Editor for Journal of Management Information Systems and Senior Editor for Production and Operations Management, all three of which are used in the Financial Times’ business school ranking. He is also a Department Editor of Business & Information Systems Engineering. He ranks among the top 22 in the world, top two in Asia, and top one in Greater China based on publications in Information Systems Research and MIS Quarterly in 2017-2021.

Prof. Hui has provided expert advice and consultancy services to government and private organizations including the Intellectual Property Department of the Hong Kong SAR Government, Insurance Authority of Hong Kong, World Intellectual Property Organization, and Ministry of Law of Singapore.

Professor Hui has taught undergraduate, MSc, MBA, EMBA, PhD, DBA, and executive courses on cybersecurity and risk management, privacy and information management, fintech, blockchain and cryptocurrencies, big data and analytics, strategic IT management, and competitive business strategy, among others. He is a three-time winner of the prestigious Franklin Prize for teaching excellence in the HKUST Business School.

Prof. Ki Ling CHEUNG
Director, Risk Management and Business Intelligence Program
Associate Professor, Department of Information Systems, Business Statistics and Operations Management
The Hong Kong University of Science and Technology

Professor Ki Ling Cheung is an Associate Professor in the Department of Information Systems, Business Statistics and Operations Management, The Hong Kong University of Science and Technology. He received a B.S. degree in Mathematics from University of Wisconsin, Madison, a M.S. degree and a Ph.D. degree in Industrial Engineering, both from Stanford University. Prior to joining HKUST in 1993, he was a management consultant at Teknekron Corporation, California, U.S.A. Dr. Cheung has extensive consulting experience in US, Canada and Hong Kong. His clients include companies such as Matsushita, British Petroleum, Dofasco Steel, Algoma Steel and Esquel. He also taught executive-level supply chain management courses for HKUST. His primary research interest is in inventory management and supply chain management, and his research work appears in leading professional journals such as Management Science, Operations Research, Manufacturing and Service Operations Management, IIE Transactions, Naval Research Logistics and Supply Chain Management Review. He had been a member of the editorial board for the supply chain management department of IIE Transactions. Professor Cheung received the HKUST "Best Ten Lecturers" award in 1996. He is also a recipient of the Franklin Prize of Teaching Excellence in the Business School.