Job Description
Position Overview:
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The SAM (Suspicious Activity Monitoring) Implementation Tech team is seeking a highly experienced Actimize SAM Technical & Functional Lead in New York City. This role is responsible for the setup, integration, and ongoing enhancement of NICE Actimize SAM systems.
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The successful candidate will own end-to-end delivery across requirements gathering, solution design, building, testing, and production support while partnering with business stakeholders, compliance/AML teams, data engineers, and developers. This is a hands-on lead role that combines functional leadership with deep technical execution (Python, ETL, SQL, and modern AI-assisted tooling) and the ability to manage, guide, and mentor a small engineering team.
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Key Responsibilities:
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- Technical & Functional Delivery: Lead end-to-end delivery for AML Actimize SAM and ActOne implementations, upgrades, and enhancements.
- Stakeholder Engagement: Partner closely with business and AML compliance stakeholders to translate regulatory and operational requirements into functional specifications, user stories, and acceptance criteria.
- Team Leadership: Manage, mentor, and provide technical guidance to a small team of developers/analysts; oversee code reviews, sprint execution, and delivery planning.
- Actimize Implementation & Calibration: Implement, configure, and maintain Actimize SAM models, rule evaluations, scenarios, and alert workflows; oversee model tuning and calibration activities.
- Data Pipelines & ETL: Design, build, and optimize ETL/data pipelines feeding SAM (batch and near real-time), ensuring data quality, lineage, and reconciliation controls.
- Python Automation: Develop and automate data analysis and operational tasks using Python (e.g., validation, profiling, alert analysis, reporting, tooling).
- Database & Query Optimization: Write and optimize complex SQL queries for investigations, model calibration, data validation, and performance troubleshooting with deep expertise in Actimize and UDM table structures.
- AI Tooling Integration: Responsibly leverage AI tools (e.g., code assistants, document/requirements summarization, test generation) to improve delivery speed, automation, and quality.
- DevOps & Governance: Drive DevOps practices (Git-based version control, CI/CD, environment management), along with RAID management, technical documentation, and delivery governance.
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Required Qualifications
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- Overall Experience: 10+ years of experience in AML / Financial Crime technology delivery.
- Actimize Expertise: 7+ to 10+ years of hands-on experience specifically with NICE Actimize implementations and support, with strong expertise in Actimize SAM Version 10 and ActOne.
- Table Structures: Deep understanding of Actimize AIS, RCM, and UDM table structures.
- AML & Model Tuning: In-depth knowledge of Actimize SAM models, scenarios, rules, alert workflows, and model tuning/calibration methodologies.
- Advanced SQL: Expert-level SQL skills with strong database performance troubleshooting capabilities on large-scale datasets.
- Python Proficiency: Hands-on Python development experience for data profiling, automation, and tooling (familiarity with libraries such as pandas).
- ETL & Data Engineering: Proven experience with source-to-target mapping, data transformation, reconciliation, and data quality controls (exposure to modern cloud data platforms is a plus).
- Team Leadership: Demonstrated lead experience managing/mentoring small technical teams with strong stakeholder communication skills.
- Dev Tools: Proficiency with Git, modern IDEs (e.g., VS Code, Visual Studio), and modern delivery tools.
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Preferred / Nice-to-Have Skills
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- Experience leveraging AI-assisted tools for test generation, code assistance, or document summarization within enterprise compliance guidelines.
- Exposure to cloud data infrastructure (AWS, Snowflake, Azure, GCP).
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