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Morgan Stanley

Manages investments and advises on financing

Data Quality Associate - Finance Data Governance

Data ManagementConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedHybrid

About the Job

Requirements

  • At least 2 years of professional experience, preferably in Finance, Data Governance, Data Quality, Risk, Regulatory Reporting, Operations, or a related area.
  • Experience with Data Quality Management and/or metadata management.
  • Understanding of Data Quality controls, rules, and issue management processes.
  • Strong skills in root cause analysis and problem-solving.
  • Working knowledge of Data Governance principles.
  • Knowledge of financial products and regulatory reporting.
  • Strong written and verbal communication skills, including the ability to tailor messages to different audiences, including senior stakeholders.
  • Strong attention to detail and ability to work with structured processes and documentation.
  • Confident user of Microsoft Excel and PowerPoint.
  • Proactive, collaborative mindset and willingness to work with global teams.

Responsibilities

  • Support the Capital Data Governance Council, working with senior stakeholders responsible for overseeing data-related activities impacting capital.
  • Investigate data quality issues by conducting root cause analysis and identifying drivers of data inconsistencies.
  • Manage data issues throughout their lifecycle, including tracking, metadata maintenance, status updates, remediation follow-up, and reporting.
  • Collaborate with colleagues across Finance and the wider Firm to support timely resolution of data quality matters.
  • Contribute to key team deliverables and projects, applying knowledge of Finance processes, data governance, and regulatory expectations.
  • Prepare clear, high-quality materials for internal governance forums and senior management discussions.
  • Analyse datasets using spreadsheets and other tools, summarizing key findings and presenting actionable insights.
  • Support compliance with Firmwide and regulatory data quality standards, helping ensure processes are aligned with internal policies and control expectations.
  • Document internal processes and controls, while identifying opportunities to improve data quality, efficiency, and transparency.
  • Promote a strong risk and control mindset, proactively identifying opportunities to reduce risk in day-to-day work.
  • Act as a role model for Firm values, demonstrating accountability, collaboration, integrity, and excellence.

Desired Qualifications

  • Experience with capital calculation or capital reporting is an advantage.
  • Awareness of data warehousing principles.
  • Experience with databases and SQL queries.

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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