As an Data Governance Specialist, your role will involve supporting and driving data governance and control initiatives, with a particular focus on the firm's Trader Master reference data. This position requires a strong technical background in Data Management, Data Lineage, Data Quality, and Data Analytics within the Financial Services and/or Technology domains. The role emphasizes enhancing data quality, governance infrastructure, and operational efficiency while collaborating with cross-functional teams and contributing to high-impact projects in a fast-paced, deadline-sensitive environment.
Principal Responsibilities:
Data Governance Frameworks:
Collaborate with cross-functional teams to design, implement, and maintain preventive controls, data governance frameworks, and entitlements management.
Data Quality Management:
Monitor and address data quality exceptions, ensuring accuracy for trader lifecycle and contract data while implementing proactive controls and SLAs.
Change Management:
Support the development of the Trader Master Data Catalog and structured workflows for change requests, approvals, and downstream impact assessments.
Automation and Analytics:
Automate manual reporting processes and develop dashboards for data quality monitoring and operational risk management
Operational Efficiency:
Drive efficiency by automating exception monitoring, resolution, and reconciliation processes to reduce reliance on manual workflows and improve scalability.
Cross-System Integration:
Collaborate with technology teams to address and resolve data integration exceptions, ensuring seamless reconciliations with downstream systems.
Historical Data Validation:
Partner with stakeholders to validate historical temporal data, ensuring accurate backfilling for strategic builds and system migrations.
Qualifications/Skills:
Education:
Bachelor's degree in a relevant field (e.g., Finance, Data Science, Computer Science, or equivalent)
Experience:
5-8 years of experience in financial services, with exposure to trading strategies, fund structures, and financial products
Technical Expertise:
Proficiency in databases, data structures, and tools such as SQL, Excel, Tableau, or Power BI; familiarity with programming languages like Python, C#, or Java is a plus
Data Governance Knowledge:
Strong understanding of data governance frameworks, data lineage, and data quality management principles
Analytical Skills:
Highly analytical with the ability to interpret large datasets, automate processes, and execute project plans effectively
Communication:
Strong written and verbal communication skills, with the ability to collaborate with team members and present findings to stakeholders
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Adaptability and Organization:
Self-starter with excellent organizational skills, capable of multitasking and prioritizing in a fast-paced, high-pressure environment
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