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Anti-Money Laundering Analyst job description

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Job brief

We are seeking a driven, detail-focused, and analytically minded Anti-Money Laundering Analyst to join our team. The ideal candidate for this analyst role will have a strong eye for detail and be well versed in international laws, guidance, and best practices in anti-money laundering techniques. The key focus of the role will be to investigate and monitor financial activities within the business to ensure that all monetary transactions are real and legally compliant and that the business has a good monetary record to reduce the possibility of money laundering accusations.

Responsibilities

  • Analyze financial documents and statements to identify any suspicious patterns that have occurred or may occur in the future.
  • Investigate, measure, and report on the organization's risk of suspicious or fraudulent financial activity.
  • Develop and implement strategies to follow anti-money laundering laws.
  • Collaborate with auditors and regulators to minimize money-laundering risks to the business.
  • Create, maintain and produce effective reports showing the financial activity of individuals within the organization and the organization as a whole.
  • Report and make notes and records of any suspicious transactions or activities in an efficient and timely manner.
  • Maintain and update your knowledge of anti-money laundering compliance rules, regulations, laws, and best practices.
  • Take part in and lead anti-money laundering compliance training on identifying suspicious activity to other team members.

Requirements

  • Bachelor’s Degree or above in Finance, Business Finance, Accounting, or related field or vocational qualification and relevant experience
  • Minimum of 2 years’ experience within an anti-money laundering role
  • Demonstrated knowledge of anti-money laundering laws, regulations, and best practices
  • Excellent attention to detail
  • Demonstrated ability to report and present findings
  • Adept with using software to analyze and gather data
  • Good communication skills, both written and verbal
  • Good computer skills, including Excel and Outlook
  • Highly organized and able to work in pressurized environments, towards specific deadlines
  • Great Math skills

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