VP, Enterprise Risk Management & Chief Data Officer, Agricultural Bank of China
Connie joined BOC in 2016 as VP(officer level) overseeing risk data and KRI(Risk Appetite and non-Risk Appetite Statement) for the bank. Connie has 21 years experience in unifying banking finance business, operational and technology based upon GRC requirement. Focus on Enterprise data Management & Risk Analytics Solution to streamline and transform Business Data & process into practical working technological solution in the area of Market Risk/Credit Risk/Model Risk Management/Operational & IT. She led many large scale projects involves large volume data implementation such as enterprise data management, mortgage data analytics, global Core Banking, credit risk forecast tool, prepayment model and online trading application by incorporating massive data analysis, prediction and reporting in both of low-latency and warehouse solution.
Before joining Bank of China, Connie was Director and Quantitative Business Manager in DTCC’s Enterprise Risk Management. She managed Quantitative Risk Management’s (QRM) analytics development projects, interfaces with internal and external stakeholders, and provides robust governance and control of QRM’s infrastructure and applications. Before joining DTCC, she was Sr. manager with S&P, Bank of Tokyo as well as Other major US banks, during her management consulting period, she also worked parallel project did cross-industrial information architecture through transform financial data model into Parma. model for both of J&J and Eli Lilly.
She has Master Degree in Computer Science from City College, an MBA in Investment Management from Pace University – Lubin School of Business.