JOB SUMMARY :
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.
Applicants must be permanently authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of any temporary employment visa now or in the future.
Responsibilities:
- 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.
Knowledge, Skills, and Abilities:
- 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).
- Familiarity with machine learning concepts and their application in financial crime detection is desirable.
- 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.
Education, Training, and Experience:
- Bachelor's degree in Finance, Economics, Data Science, Business Analytics, or a related field. Master's degree is a plus.