AML Actimize SAM

BuzzClan LLC•New York, NY

4d•Hybrid

About The Position

The SAM (Suspicious Activity Monitoring) Implementation Tech team sets up, integrates, and enhances NICE Actimize SAM systems. The SAM Technical & Functional Lead owns end-to-end delivery across requirements, design, build, testing, and production support, partnering with business stakeholders, compliance and AML teams, data engineers, and developers. This hands-on role combines functional leadership with technical execution using Python, ETL, SQL, and AI-assisted tools, as well as managing and mentoring a small team.

Requirements

10+ years of overall experience in AML/financial crime technology delivery.
5+ years of hands-on NICE Actimize SAM implementation and 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, with the ability to troubleshoot performance and data issues across large datasets.
Hands-on Python proficiency for automation, data analysis, and tooling.
Strong ETL/data engineering experience, including source-to-target mapping, transformations, controls, and reconciliation.
Experience using AI tools to accelerate delivery with appropriate data and privacy controls.
Proven experience leading, managing, or mentoring a small team.
Strong stakeholder engagement, requirements analysis, and communication skills.

Nice To Haves

Experience with common Python libraries such as pandas.
Exposure to cloud data platforms.
Experience with Git and modern IDEs such as Visual Studio or VS Code.

Responsibilities

Lead end-to-end technical and functional delivery for AML Actimize SAM and ActOne implementations and enhancements.
Partner with business and AML stakeholders to translate regulatory and operational needs into functional specifications, user stories, and acceptance criteria.
Manage and mentor a small team of developers and 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.
Design, build, and optimize batch and/or near-real-time ETL and data pipelines feeding SAM, ensuring data quality, lineage, and reconciliation controls.
Use Python to automate data analysis and operational tasks, including validation, profiling, alert analysis, reporting, and tooling.
Write and optimize complex SQL for investigations, model calibration, data checks, and performance troubleshooting, using knowledge of Actimize/UDM table structures.
Use AI tools responsibly, such as code assistants, document and requirements summarization, and test generation, to improve delivery speed and quality.
Drive DevOps and release practices, including Git-based version control, CI/CD where applicable, and environment management.
Own stakeholder communications, RAID management, documentation, and governance across delivery and BAU support.