AML Actimize SAM

Position: AML Actimize SAM
Location: NYC NY (Hybrid 3 days a week)
Contract

Job Type :
The SAM (Suspicious Activity Monitoring) Implementation Tech team is responsible for setting up integrating and enhancing NICE Actimize SAM systems. The SAM Technical & Functional Lead will own end-to-end delivery across requirements design build testing and production supportpartnering with business stakeholders compliance/AML teams data engineers and developers. This is a hands-on role that combines functional leadership with strong technical execution (Python ETL SQL and modern AI-assisted tooling) and the ability to manage and mentor a small team.

Responsibilities:

• Lead end-to-end technical and functional delivery for AML Actimize SAM and ActOne implementations and enhancements.
• Partner with business/AML stakeholders to translate regulatory and operational needs into clear functional specifications user stories and acceptance criteria.
• Manage and mentor a small team of developers/analysts; provide technical direction code reviews and delivery planning.
• Implement and maintain Actimize SAM models rule evaluations scenarios and alert workflows; oversee model tuning and calibration activities.
• Design build and optimize ETL/data pipelines feeding SAM (batch and/or near real-time) ensuring data quality lineage and reconciliation controls.
• Develop and automate data analysis and operational tasks using Python (e.g. validation profiling alert analysis reporting tooling).
• Write and optimize complex SQL for investigations model calibration data checks and performance troubleshooting; demonstrate strong understanding of Actimize/UDM table structures.
• Leverage AI tools (e.g. code assistants document/requirements summarization test generation) responsibly to improve delivery speed and quality.
• Drive DevOps and release practices (Git-based version control CI/CD where applicable environment management).
• Own stakeholder communications RAID management documentation and governance across delivery and BAU support.

Qualifications :

• 10 years of overall experience in AML/financial crime technology delivery with 5 years of hands-on NICE Actimize SAM implementation/support experience (including AIS/UDM table structures).
• Strong understanding of Actimize SAM models scenarios/rules alert workflows and model tuning/calibration concepts.
• Expert-level SQL and strong database fundamentals; able to troubleshoot performance and data issues across large datasets.
• Hands-on Python proficiency for automation data analysis and tooling; experience with common libraries (e.g. pandas) preferred.
• Strong ETL/data engineering experience (source-to-target mapping transformations controls reconciliation); exposure to cloud data platforms is a plus.
• Experience using AI tools to accelerate delivery (e.g. code assistants test generation documentation summarization) with appropriate data/privacy controls.
• Proven lead experience (small team management/mentoring) with strong stakeholder engagement requirement analysis and communication skills; Git and modern IDEs (e.g. Visual Studio/VS Code) desirable.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract