John Deng Email & Phone Number

Texas, United States

Chiyoda-Ku, Tokyo, Jp

Develop mathematical or statistical theory to interpret customer KYC data and historical transaction data to group customers and non-customers into segments in order to monitor their activities with appropriate thresholds.Develop, tune, and optimize risk-based rules to monitor suspicious transactions based on relationships and trends of historical transactional dataAnalyze the clusters/relationships and present the information to senior management in the data visualization toolsCoordinate with regional Intelligence & Analytics teams to implement on the global model.Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities

Riverwoods, Il, Us

Develop machine learning model pipelines to predict potential customer harms and then enhance overall risk management, including attributes development from various data sources and feature engineering, EPA, variable selection, and algorithms comparison among various algorithms such as logistic regression, GBM, xgboost, Random Forest, LSTM networks, etc.

Riverwoods, Il, Us

• Manage modeling projects including model design, data preparation, model development, implementation, documentation, and on-going monitoring & refinement• Lead research and analysis of internally identified suspicious activity patterns, industry risks, or any complex, critical issues concerning the trends associated with money laundering or other financial crimes• Provide data and query support to assist simulation and analysis requests of compliance business partners• Monitor system and model performance by recommending, creating & maintaining meaningful, robust metrics and reports• Interact with technology partners and vendors to ensure the systems supporting the program are operating effectively, and improve implementation efficiency• Collaborate with Model Risk Management or Internal Audit teams to handle model risk related tasks• Establish and maintain a thorough understanding of the analytical data sources, methodology and tools, apply new elements in AML modeling and analytics• Identify and leverage new data, adopt new techniques and technology to improve model performance and existing process• Lead cross-functional-team projects and provide guidance to junior team members

Toronto, On, Ca

• Planned, assigned, monitored, reviewed, evaluated, and led analytics on AML processes or projects by using SAS/SQL, Norkom, Mantas, Excel, Access, Spotfire• Conducted holistic analytics on strategic direction of scenario tuning and model optimization in order to significantly enhance scenario effectiveness and efficiency• Design, develop, validate, implement predictive models by using Logistic Regression and supervised Decision Tree to reduce false positives• Conducted analysis on quality validation, threshold analysis, below the line testing, sampling methodology, clustering and segmentation analysis, and compliance check • Presented, communicated scenario development as well as findings to stakeholders in order to ensure models meeting business requirements without doubts

New York, Ny, Us

- Provided insightful acquisition and portfolio strategy analysis for decision making- Developed and automated recurring monitoring reports to oversee business process and risk control- Provided accurate and timely ad hoc reports to answer business questions- Developed, maintained, and validated various risk models- Provided SAS/SQL mentoring and support for risk team

Toronto, Ontario, Ca

- Campaign design and execution- Post campaign analysis- Recurring and ad hoc reporting- SAS/SQL mentoring

Toronto, Ontario, Ca

Campaign AnalysisCRM AnalysisCustomer Segmentation AnalysisPredictive ModelingData MiningReporting

Quantitative ModelingData MiningNumeric Simulation