Haibo Zhang

A data scientist by training, Haibo has more than 15 years of global leadership in major banks, consulting firms and digital fraud software companies. He is an expert in banking as well as cryptocurrencies, digital assets, exchanges and blockchains. He is also a recognized Financial Crimes and digital security expert, applying data science and model validation concepts to the FinTech and RegTech industries.

Based in London, Haibo’s consulting practice centres on offering strategic advice to US and global financial institutions on projects such as building standards and frameworks, evaluating FinTechs and applying machine learning to AML and Fraud Modelling. From an industry perspective, Haibo has wide experience. He served as HSBC’s Senior Vice President and Global Head of applied analytics, responsible for driving the analytics strategy for its Financial Crime Threat Mitigation global function. There he led both AML and Fraud Analytics global teams to ensure sound methodology and governance were applied.

Prior to this role, Haibo was at HSBC in New York where he was Global Head of Analytics Oversight, responsible for the best practice and innovation of Transaction Monitoring Systems and Analytics, including the Model Validation framework. He is fully familiar with the Norkom, Actimize, and Mantas systems. He also led and oversaw the evaluation and implementation of two major RegTech solutions: Ayasdi and Quantexa. Earlier, he served as HSBC’s US Head of AML Analytics where he established the Model Validation framework and was responsible for all analytics of the US AML transaction monitoring systems. Haibo also has direct vendor experience as he served as Senior Scientist at Nice Actimize and a Senior Sentinel Architect for Fortent and Searchspace’s AML and Fraud solutions.

Haibo holds a PhD in Computational Biology from Rutgers University and NJIT, and also holds a Masters Degree in Molecular Microbiology from Nankai University.