What are the responsibilities and job description for the SAM(Suspicious Activity Monitoring) Technical & Functional Lead position at TechSpace Solutions Inc.?
Job Title: SAM Technical & Functional Lead
Work Location: NYC , NY(Hybrid)
Duration : 12 Months
The SAM (Suspicious Activity Monitoring) Implementation Tech team is responsible for the setup, integration, and ongoing enhancement of 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.
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.