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  2. Harry Markopolos - Wikipedia

    en.wikipedia.org/wiki/Harry_Markopolos

    Harry M. Markopolos (born October 22, 1956) is an American former securities industry executive and a forensic accounting and financial fraud investigator.. From 1999 to 2008, Markopolos uncovered evidence that suggested that Bernie Madoff's wealth management business was a huge Ponzi scheme.

  3. Forensic accountant - Wikipedia

    en.wikipedia.org/wiki/Forensic_accountant

    Forensic accountants need to have a great deal of access to information regarding the company they are investigating or assisting. The information will determine how much a person actually makes, the worth of a business, if there has been fraudulent activity, who committed the fraud, everyone involved, how much was taken from the company, where the money went, and how much can be recovered.

  4. IRS Criminal Investigation - Wikipedia

    en.wikipedia.org/wiki/IRS_Criminal_Investigation

    Internal Revenue Service, Criminal Investigation (IRS-CI) is the United States federal law enforcement agency responsible for investigating potential criminal violations of the U.S. Internal Revenue Code and related financial crimes, such as money laundering, currency transaction violations, tax-related identity theft fraud and terrorist financing that adversely affect tax administration.

  5. Forensic accounting - Wikipedia

    en.wikipedia.org/wiki/Forensic_accounting

    Forensic accounting, forensic accountancy or financial forensics is the specialty practice area of accounting that investigates whether firms engage in financial reporting misconduct, [1] or financial misconduct within the workplace by employees, officers or directors of the organization. [2]

  6. The investigation found that absent strong safeguards, localities are often a petri dish for fraud and other wrongdoing. Missouri doesn’t impose extensive financial controls on small municipalities.

  7. Financial crime - Wikipedia

    en.wikipedia.org/wiki/Financial_crime

    Fraud and financial crime patterns have become more digital and faster changing, leveraging the underlying characteristics of the underlying digital payments infrastructures. This caused traditional rule based systems to be ineffective and led the way to machine learning and AI-based fraud detection techniques.