Analyst, Compliance Data Governance Analyst

Community Federal Savings Bank-posted 3 days ago
$72 - $80/Yr
Full-time • Entry Level
New York, NY
11-50 employees
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CFSB is seeking a highly skilled and motivated Compliance Data Governance Analyst to join our dynamic team. The ideal candidate will have a strong background in financial analysis, data management, and an in-depth understanding of various financial crimes systems. As a Compliance Data Governance Analyst, you will play a crucial role in analyzing and interpreting complex data that supports the Bank’s compliance with regulations and internal policies.

  • Utilize advanced analytical techniques to analyze large volumes of financial data and transactional records for compliance oversight, escalation, and reporting.
  • Collaborate with cross-functional teams to develop and implement data-driven strategies to mitigate financial crime risks and enhance fraud detection capabilities.
  • Maintain and optimize data supporting the organization's compliance key risk indicators, ensuring the accuracy and completeness of the data.
  • Monitor and assess changes in regulations and industry trends related to financial crimes, staying up-to-date with emerging risks and mitigation techniques.
  • Develop and deliver presentations to inform internal stakeholders on financial crime and compliance trends, typologies, and best practices for detection and prevention.
  • Collaborate with IT teams to enhance data quality, implement data integrity controls, and ensure the secure management of sensitive financial information.
  • Participate in audits and assessments related to financial crime prevention, responding to inquiries from internal and external auditors as needed.
  • Strong understanding of various financial crimes, including fraud schemes, money laundering techniques, and regulatory compliance.
  • Proficiency in data analysis tools such as SQL, Python, R, or similar languages, and experience with data visualization tools (e.g., Tableau, Power BI).
  • Excellent problem-solving skills and attention to detail, with the ability to think critically and make sound decisions based on complex data.
  • Strong communication skills to present findings, insights, and recommendations to both technical and non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced environment, managing multiple tasks and priorities effectively.
  • Bachelor's degree in Finance, Economics, Data Science, Business Analytics, or a related field.
  • Proven experience (minimum 2 years) as data analyst or similar role within the financial services industry
  • Master's degree is a plus.
  • Familiarity with machine learning concepts and their application in financial crime detection is desirable.
  • Professional certifications such as Certified Anti-Money Laundering Specialist (CAMS) or Certified Fraud Examiner (CFE) are advantageous.
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