We are seeking a highly experienced Data Analyst with over 7 years of expertise in the AML domain. The ideal candidate will have a strong background in both business and data analysis, with hands-on experience in AML in Transaction Monitoring projects. This role requires a deep understanding of data analysis, data mapping, and the ability to work closely with development teams to ensure accurate implementation of business requirements.

Key Responsibilities:

• Analyze source system data and map data attributes to target data models.
• Develop comprehensive data mapping documents.
• Define data transformation logic based on business requirements for data mapping from source to target.
• Collaborate with users to understand, document, and define business requirements.
• Develop Functional Specifications Documents (FSDs).
• Work closely with the development team to ensure accurate implementation of business requirements.
• Validate system implementations during System Integration Testing (SIT) and User Acceptance Testing (UAT) phases of the Software Development Lifecycle (SDL).
• Utilize AML monitoring tools such as Actimize, Oracle, SAS, etc., for effective monitoring and analysis.
• Analyze transactional data including Trades, Cash, Checks, ACH, Cards, Wires, Lease, Loans, etc.
• Write SQL queries for data analysis and debugging purposes.

Skills :

• Holds a 3/4 year university degree in science or business
• Minimum 7-10 years of experience in the banking industry
• At least 5+ years in the compliance domain
• Extensive knowledge and experience in AML Data (Customers, Accounts, Transactions such as Wires/Checks, Risk Assessment Data, etc.)
• Proficient in Data Management (Data Quality, Exception Management)
• Excellent skills in SQL
• Additional tech skills like Python are a plus
• 5+ years of experience with Oracle OFSAA or Actimize is a must
• Experience in large-scale projects and teams
• Highly organized, responsive, and possesses a positive attitude

Work Environment:

• Ability to thrive in a fast-paced environment
• Quick learner and self-starter

• Analyze source system data and map data attributes to target data models.
• Develop comprehensive data mapping documents.
• Define data transformation logic based on business requirements for data mapping from source to target.
• Collaborate with users to understand, document, and define business requirements.
• Develop Functional Specifications Documents (FSDs).
• Work closely with the development team to ensure accurate implementation of business requirements.
• Validate system implementations during System Integration Testing (SIT) and User Acceptance Testing (UAT) phases of the Software Development Lifecycle (SDL).
• Utilize AML monitoring tools such as Actimize, Oracle, SAS, etc., for effective monitoring and analysis.
• Analyze transactional data including Trades, Cash, Checks, ACH, Cards, Wires, Lease, Loans, etc.
• Write SQL queries for data analysis and debugging purposes