Leads end-to-end NICE Actimize SAM and ActOne implementations, including requirements, design, configuration, testing, production support, model tuning, alert workflows, and ETL pipelines. Partners with AML and business stakeholders, writes Python and SQL for automation and analysis, manages data quality and reconciliation, drives DevOps and release practices, and mentors a small technical team. Owns stakeholder communications, governance, documentation, and ongoing support.
Job Description
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 support—partnering 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.
- 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.
All your information will be kept confidential according to EEO guidelines.
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