Morgan Stanley

Morgan Stanley

Global Financial Crimes: Vice President, Data Testing Lead

New York, New York, United States of America · Exec

Sponsorship not specifiedDetected 2 days ago
Data AnalysisStakeholder ManagementCommunicationProblem Solving

About the role

  • 8+ years of relevant experience in risk and controls; data governance and data quality Ability to solicit information from stakeholders at various levels of the organization Excellent communication and stakeholder management skills.
  • We do it in a way that's differentiated - and we've done that for 90 years.
  • At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Requirements

  • 8+ years of relevant experience in risk and controls
  • data governance and data quality Ability to solicit information from stakeholders at various levels of the organization Excellent communication and stakeholder management skills.

Skills

  • Data Testing Lead.
  • The scope of data testing will include all upstream clients, asset movement, and referential data feeding GFC models.
  • GFC coordinates day-to-day implementation of the Firm's financial crime prevention efforts.

Compensation

  • Expected base pay rates for the role will be between 120000 and 205000 per year at the commencement of employment.

Benefits

  • We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Company info

  • We are seeking someone to join our team as a
  • At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals.

Equal opportunity

  • https://www.morganstanley.com/people-opportunities/eeo.
  • Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.

This listing is sourced directly from Morgan Stanley's careers page and normalized into a canonical job model.