 Review accounts in a timely manner for concerns of fake business, family and friendly fraud, stolen identity, business impersonation, good merchant gone bad, collusion, stolen credit cards, BNPL, first party fraud, ACH and carding  Formulate SQL queries in Snowflake to identify expansive fraudulent networks and detect instances where fraudulent entities circumvent risk mitigation protocols  Work with engineering teams to test and improve accuracy of risk protocols  Facilitate job-shadowing experiences for underperforming agents, with a proven track record of enhancing individuals performance metrics

 SME in ATO, elder and family abuse, identity theft, stolen financials, collusion, explosive growth, high-risk selling, carding attacks, ACH payments, product abuse and intermediary exit  Constructed SQL queries in Postgre and Teradata SQL using Jupyter Notebooks platform  Created and manipulated large data sets – scaling large datasets down into presentable information using a story telling format  Identified international financial crimes through a holistic review of crypto movement, money laundering, and suspicious exiting of funds across multiple payment platforms  Led root cause analysis to identify, predict, prevent and mitigate risk within processes and performance review boards  Trained team members to investigate and complete all aspects of regulatory KYC, KYB (CIP)  Collaborated with cross-functional partners to implement change and promote awareness through the coordination of fraud detection and statistical trend analysis  Led special task force comprising of six different departments investigating large fraud trends totaling over four billion in fraud