Millennium
Website:
mlp.com
Job details:
Overview
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $83.5 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors. Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
Job Function Summary
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
- 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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