U.S. Data and Analytics Officer, Agricultural Bank of China
Connie currently is responsible for all types of data domains include risk, finance, KYC, BSA/AML. Before that she was at the Bank of China overseeing risk data (BCBS239), Financial Data (2052a) and KRI (Analytics & Reporting) as well as front-to-back financial data reconciliation.
Connie has 23+ years’ experience in unifying financial service business, operation and technology based upon GRC requirement. Focus on Enterprise data Management & Risk Analytics Solution to streamline and transform Business Data & process (L1/L2) into practical technological solution includes 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, interfaced with internal and external stakeholders, and provided robust governance and control of QRM’s infrastructure and applications. Before that, she was Sr. manager with global management consulting practice serving major U.S. clients such as Bank of America and wells Fargo, where she also did cross-industrial information architecture projects via transforming financial data model into Parma. model for J&J and Eli Lilly.
She has Master Degree in Computer Science from City College, and MBA in Investment Management from Lubin School of Business.