Bio

Ms. Das has over 20 years of data and risk management experience across both the financial and public sectors. A subject matter expert in the areas of applied data analytics and AML Model development, The main focus of much of her current work is to use risk-based approaches for developing counter measures in money laundering, terrorist financing, bribery and corruption. Specialties in: ■ Vast experience developing end to end model development groups that always deliver and add business value. ■ Developing scalable Machine Learning models using a variety of platforms and technologies. ■ Applied skills in Data Science including statistical modelling, predictive modelling, and Data Mining ■ Advanced knowledge of SAS, SQL, and other related statistical tools ■ Anti-Money Laundering & Anti-Terrorist Financing, KYC, Sanctions, and Customer Risk Scoring ■ Knowledge of Model Governance Regulations (AML, OFAC) and Fed requirements (SR11-7, OCC 2011-12)