compliance data analytics avp/vp.

about the team.

You will join a specialized Financial Crimes & Compliance Analytics function that operates as the "intelligence engine" for the bank’s risk management. This is not a traditional back-office compliance team; it is a forward-thinking group that leverages data to detect complex financial crime networks. The culture is collaborative and highly visible, often presenting insights directly to senior stakeholders and regulatory bodies.


about the job.
As the AVP/VP of Compliance Data Analytics, you will serve as the technical lead for the bank's transaction monitoring systems. Your primary remit is to ensure that the automated systems used to detect money laundering and fraud are effective, accurate, and compliant with regulatory standards (NYDFS/OCC). Key responsibilities include:

- System Optimization: Lead the tuning and calibration of transaction monitoring rules (specifically within AML platforms like NICE Actimize) to reduce false positives and capture genuine risks.
- Data Detective Work: Utilize advanced SQL, Python, and SAS to extract, mine, and analyze large datasets, identifying emerging trends in financial crime.
- Model Validation: Execute below-the-line testing and sensitivity analysis to validate that current detection models are performing as intended.
- Visualization & Reporting: Design and maintain dynamic dashboards (using Tableau or Power BI) to visualize risk exposure and system performance for senior management.
- Cross-Functional Bridge: Act as the translator between the IT engineering teams and the Compliance officers, ensuring technical implementations match regulatory intent.


skills & experiences required.
- 5-8 years of experience in Data Analytics, with a specific focus on Financial Crimes, AML, or Compliance Technology within the banking or consulting sector.
- Advanced proficiency in SQL is mandatory. Strong working knowledge of Python or R for data analysis is highly preferred. Experience with Tableau or similar visualization tools is required.
- Hands-on experience with AML transaction monitoring systems (e.g., NICE Actimize, Oracle Mantas, SAS AML) is a significant advantage.
- A solid understanding of BSA/AML regulations, OFAC sanctions, and the USA PATRIOT Act.
- Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Mathematics) or Finance.
- CAMS (Certified Anti-Money Laundering Specialist) certification is a plus.
- Proven ability to explain complex technical data concepts to non-technical stakeholders and regulatory examiners.