Are you experienced within financial services and have strong analytical skills? Then you found the right position for you!

As a Data Management Associate, within the Corporate and Investment Bank Chief Data Office, you will focus on delivering business impact through transformation of Data Quality management and work with stakeholders across the Commercial and Investment Bank (CIB), other Line Of Businesses (LOBs) and Corporate Functions to ensure fit-for-purpose data.

Job responsibilities:

• Implement and support Data Quality (DQ) practices across the CIB, , in support of the Firm’s broader efforts around BCBS 239 and discover and document data lineage to trace the end-to-end data journey from point of creation to consumption to support regulatory requirements, e.g. BCBS 239
• Partner with operations, technology and product control organizations to document data quality controls across the data lineage for critical data flows and build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts
• Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis
• Accelerate data quality issue level root cause analysis and resolution through effective program governance, process/data mapping and data deep-dives
• Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues
• Discuss and agree technical resolutions with technology teams to remediate DQ issues
• Leverages productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences

Required qualification, capabilities, and skills

• 2+ years in data management, governance, or analytics within financial services/fintech.

• Deep understanding of data management, governance, and lifecycle; advanced product development and analytics knowledge; skilled in large data sets, SQL, ETL; experience with BI tools (Sigma, Tableau, Qlik Sense, Alteryx, Cognos)

• Excellent analytical and quantitative problem-solving; quick learner with strong attention to detail; strategic thinker using data for scenario evaluation and strategy development.

• Effective communicator with technical and non-technical audiences; excellent verbal/written skills; confident and mature in presenting and expressing viewpoints.

• Experience in working on projects and programs focused on data quality, data lineage, data control documentation and metadata management

Preferred qualification, capabilities, and skills

• Experience in data product management.
• Experience in a CDO or Data Quality organization within an investment bank or large financial services firm.
• Ability to foster a culture of innovation through creative problem-solving and adoption of new technologies.