Data Operations – Senior Associate

Overview

• Drive data operations excellence in a dynamic financial services environment, ensuring accuracy and integrity of master data across platforms.
• Collaborate with cross-functional teams to optimize data flows and support strategic decision-making processes.
• Maintain high-quality entity and asset data, including security master and issuer master records.
• Support data onboarding, integration, and reporting processes to enhance portfolio transparency and operational efficiency.
• Develop expertise in data governance, process optimization, and advanced analytics within a fast-paced environment.
• Analyze large datasets to provide actionable insights and improve organizational decision-making.
• Contribute to the development and maintenance of tools for data classification and deduplication.

Key Responsibilities & Duties

• Maintain and validate security master, issuer master, and reference data for investments and investors.
• Define and apply configuration rules for new funds, hierarchies, and portfolio records.
• Investigate and resolve complex data issues under tight deadlines, ensuring accuracy and reliability.
• Conduct data checks and implement corrections across workflows to maintain data integrity.
• Collaborate with diverse teams to understand data requirements and deliver tailored solutions.
• Participate in onboarding activities, setting up new entities across systems seamlessly.
• Support system integrations and migrations to ensure smooth transitions and data consistency.
• Analyze large datasets and provide ad hoc reporting to meet organizational needs.
• Develop tools for identifying, classifying, and deduplicating master data elements effectively.

Job Requirements

• Bachelor’s degree in Economics, Finance, Organizational Sciences, or a related field.
• 3–6+ years of experience in financial services, asset management, or data management roles.
• Proficiency in advanced Excel functions, including VLOOKUPs, macros, and pivot tables.
• Working knowledge of SQL and a willingness to expand technical skillsets.
• Familiarity with private loans, CLOs, private equity, and fixed income instruments preferred.
• Experience with security data models within platforms such as Aladdin, Geneva, or Sentry is advantageous.
• Strong analytical and problem-solving skills to translate business requirements into data solutions.
• Effective communication and interpersonal skills for collaboration across diverse teams.
• Self-driven, organized, and capable of managing multiple priorities in a fast-paced environment.