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Morgan Stanley

Manages investments and advises on financing

Divisional Data Officer - Vice President

Data ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Extensive experience in the financial services industry.
  • Knowledge of financial products, asset classes, and risk measures.
  • Knowledge of the trade lifecycle and experience with front-to-back data lineage or data flow.
  • Experience in a similar Data Management role, with a focus on data definitions, data authorities, data quality rules, data quality controls, and awareness of industry best practices around data principles and management.
  • Understanding of Data Governance and Management principles.
  • Deep data analysis skills, including identifying data patterns and data inconsistencies or deficiencies and challenging assumptions made by subject matter experts.
  • A strong risk and control mindset.
  • Ability to organize and present data meaningfully, including analyzing and summarizing detailed information from various sources.
  • Ability to work within a team and collaborate with peers and leadership across varied functions.
  • Ability to take ownership of tasks, deliver work, manage expectations, and track pending tasks.
  • Ability to build and manage client relationships.
  • Strong written communication and presentation skills, including the ability to liaise with and influence senior subject matter experts.
  • Problem-solving ability, including asking questions and challenging at the appropriate time.
  • Advanced Microsoft Excel, Microsoft Word, and Microsoft PowerPoint skills, and basic data modelling experience.

Responsibilities

  • Develop Data Management standards for the ISG department focused on data definitions, data authorities, data quality rules, data quality controls, and industry best practices around data principles, management, and governance.
  • Develop subject matter expertise around key data governance processes and controls.
  • Understand, from a Data Policy perspective, what needs to be catalogued for data projects.
  • Understand relationships between data entities used by in-scope business processes and perform basic data modelling to support cataloguing.
  • Understand the control environment, support control documentation, and map controls to data.
  • Understand data quality guidelines and control gaps, and challenge consumers where relevant on whether their needs are fit for purpose.
  • Work collaboratively with team members to execute data projects and with subject matter experts to define data terms.
  • Assess the risk rating of data issues, undertake root-cause analysis, perform periodic thematic analysis of data issues, and define remediation plans or risk acceptance for the highest-rated data issues.
  • Prepare and present updates and metrics on data policy implementation, data issue management, areas requiring escalation, and updates to Data Governance Committees or the Data Centre of Excellence.
  • Track initiative progress against timelines, provide status reports to senior management, and highlight risks and dependencies that may affect planned deadlines.

About the Company

Morgan Stanley

Manages investments and advises on financing

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1935

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