Michael McCrory

About Michael McCrory

Experienced AML Data Analyst skilled in problem solving using data visualization, statistical analysis, and machine learning with Python, R, SAS, SQL, and TableauLooking for full-time roles in AML/KYC and Data AnalyticsCurrent Master of Applied Data Science student at University of MichiganGraduate of Loyola University Maryland with a Bachelor of Science in Data Science and Quantitative Economics with a minor in Mathematics

Experience

1. Anti-money Laundering Analyst

   Protiviti

   Jul 2024 — Present · New York, NY, US

   Analyze financial transaction data to detect patterns and anomalies indicative of potential fraud or money laundering for a top-3 U.S. bank• Conduct thorough online research into customer behavior to support investigations, ensuring compliance with evolving regulatory and institutional standards• Independently report suspicious and non-suspicious activity cases for both consumer and commercial cases, providing data-driven justifications to compliance teams and regulatory bodies, successfully closing over 2,100 cases• Led one-to-one shadowing sessions with individuals returning to the project after leaves of absence, walking them through casework and best practices• Engaged in round table discussions as an experienced analyst assisting new investigators with casework• Selected as the top investigator to represent the firm in a case study with the bank, in which I worked cases and provided insights to the client on potential roadblocks and areas for improvement• Assisted investigators and senior investigators with casework while meeting or exceeding target every day with excellent quality

Education

• Fordham Preparatory School

  High School Diploma

• Loyola University Maryland

  Bachelor of Science - BS, Data Science & Quantitative Economics (Double Major), Mathematics (Minor)

• University of Michigan

  Master of Applied Data Science

  2024 — 2026