What are the responsibilities and job description for the Actimize Data Modeler (Financial Technology) position at Vaarida Technologies llc?
Role - Actimize Data Modeler (Financial Crime Technology)
Location - Phoenix AZ (Onsite)
Job Type- Full Time Employment
Job description Below
The Actimize Data Modeler is responsible for designing, developing, and maintaining data models that support the implementation and optimization of the Actimize platform for AML, KYC, Customer Risk Rating, and Transaction Monitoring solutions. The role works closely with business analysts, data architects, Actimize developers, and compliance stakeholders to ensure accurate data integration and regulatory reporting.
Key Responsibilities
- Design and maintain conceptual, logical, and physical data models for Actimize applications.
- Analyze source systems and map data elements to the Actimize Common Data Model (ACDM).
- Define ETL requirements and data transformation rules for AML and Financial Crime solutions.
- Collaborate with business stakeholders to understand regulatory and compliance requirements.
- Perform data profiling, data quality assessments, and gap analysis.
- Support implementation of:
- Actimize Integrated Fraud Management
- Actimize Transaction Monitoring
- Customer Due Diligence (CDD)
- Know Your Customer (KYC)
- Watchlist Screening
- Customer Risk Rating
- ActOne
- Create source-to-target mapping documents and data dictionaries.
- Work with database teams to optimize data structures and performance.
- Support UAT, SIT, and production deployments.
- Ensure data governance, lineage, and auditability requirements are met.
Required Skills
- Strong experience with NICE Actimize platform.
- Deep understanding of Actimize Common Data Model (ACDM).
- Experience in fraud, AML, KYC, Sanctions Screening, and Fraud
- Strong SQL skills (Oracle, SQL Server, PostgreSQL, or DB2).
- Experience with ETL tools and data integration frameworks.
- Knowledge of data warehousing and dimensional modeling.
- Ability to create source-to-target mappings and data lineage documentation.
- Experience with large-scale banking data environments.