Financial Crime Data Analysis Specialist

1 semana atrás


São Paulo, São Paulo, Brasil beBeeDataAnalyst Tempo inteiro
Senior Data Analyst-Financial Crimes/AML Position

We are seeking a highly skilled and experienced data analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space.

This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks.

  • Analyze and interpret large datasets using statistical and analytical tools to identify potential risks.
  • Utilize data analytics tools (e.g., SQL, Python, R, SAS) and data visualization tools (e.g., Tableau, PowerPoint) to support investigations teams and decision-making processes.
  • Perform data ETL, cleaning, and validation.
  • Design and implement financial crime detection models and scenarios.
  • Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.

This is a contract position. This role is work from home.

The ideal candidate will have a strong understanding of AML/KYC regulations and practices, as well as experience working with data analytics tools and data visualization tools.

Required Skills and Qualifications
  • At least a bachelor's degree in data analytics or a related field.
  • At least 7 years of experience in the field.
  • Proven experience in financial crimes/AML space.
  • Proficiency in data analytics tools such as SQL, Python, R, and SAS.
  • Experience with data visualization tools like Tableau and PowerPoint.
  • Strong understanding of AML/KYC regulations and practices.
Preferred Qualifications
  • Experience working in a major financial institution or consulting firm.
  • Advanced degree in a related field (e.g., Data Science, Statistics, Finance).


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