John is a Partner in Control Risks’ Discovery + Data Insights practice and the Global Lead for Data Analytics.
He advises government organizations, multinational corporations, and global law firms on technology-driven solutions that transform complex data systems into actionable intelligence for investigations, compliance, and integrity risk management.
Recent tasks that John has worked on include:
- Leading the development of an unsupervised machine learning model integrated with geo-proximity testing to detect anomalous product sales and identify high-risk customers, enabling proactive mitigation of cross-border diversion risks.
- Directing a multi-jurisdictional internal investigation into allegations of bid-rigging, bribery, and kickbacks, designing a streamlined workflow to normalize and validate ERP data and apply targeted red-flag queries, drastically reducing manual testing.
- Guiding data extraction, normalization, and analysis of customer records, transactional data, and SWIFT messages to trace funds through complex offshore structures, reconstruct ownership hierarchies, and support disclosures to the U.S. Department of Justice.
Before joining Control Risks, John held the role of Managing Consultant in the Disputes and Investigations practice at a global legal technology firm.
He graduated from the University of Waterloo with a bachelor’s degree in accounting and financial management and a master’s degree in accounting.
John is fluent in Korean.