VP, Global Financial Crimes Data Testing Lead

Morgan Stanley

New York (NY)

On-site

USD 120,000 - 210,000

Full time

10 days ago

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Job summary

Morgan Stanley in New York seeks a Data Testing Lead for Global Financial Crimes to design a risk-based data testing framework, plan and procedures, and execute tests across upstream clients, asset movements, and referential data feeding GFC models. You will partner with IT and GFC teams to define data standards, publish testing rules, monitor data quality metrics, and drive remediation of issues.

The ideal candidate has 8+ years in risk and data governance, strong analytical skills, and proven

Qualifications

  • 8+ years of experience in risk and controls, data governance or data quality.
  • Strong ability to solicit information from stakeholders at various levels.
  • Excellent communication and stakeholder management skills.
  • Proficiency with data analysis tools and methodologies.

Responsibilities

  • Publish a data testing framework, procedures and plan for GFC data input/output testing.
  • Identify critical data elements and data quality rules for data quality management.
  • Collaborate with IT to catalogue Data Quality rules.
  • Work with IT and GFC to identify and resolve Data Quality Exceptions.
  • Provide timely, accurate metrics and reporting of Data Quality across Global Financial Crimes.
  • Obtain certification as an Anti-Money Laundering Specialist (ACAMS) or equivalent within 15 months.

Skills

Data analysis
Stakeholder mgmt
Communication
Analytical thinking
Deadline management
Prioritization
Problem solving

Tools

Data quality tools

Job description

Morgan Stanley in New York seeks a Data Testing Lead for Global Financial Crimes to design a risk-based data testing framework, plan and procedures, and execute tests across upstream clients, asset movements, and referential data feeding GFC models. You will partner with IT and GFC teams to define data standards, publish testing rules, monitor data quality metrics, and drive remediation of issues.

The ideal candidate has 8+ years in risk and data governance, strong analytical skills, and proven

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