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Matrix Global Services

AML Business/Data Analyst -NYC / Tampa

Reposted 2 Hours Ago
Remote
Hiring Remotely in United States
60K-160K Annually
Senior level
Remote
Hiring Remotely in United States
60K-160K Annually
Senior level
The role involves data and business analysis in the AML domain, focusing on data mapping, transformation logic, and collaboration with development teams to ensure accurate implementation of business requirements.
The summary above was generated by AI

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 hh

  • 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 OAFSA 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

Salary Range -$60k -$ 160K

Why Matrix

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors.  With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. 

We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. 

Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com, 

Top Skills

Actimize
Oracle
Python
SAS
SQL

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