Data Operations – Senior Associate

Overview

• The Senior Associate in Data Operations ensures the accuracy and integrity of master data across platforms within an asset management environment.
• Collaborate with Operations, Technology, and Investment teams to support seamless data flows and 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.
• Develop expertise in data governance and process optimization within a dynamic environment.
• Analyze large datasets and deliver insights to internal teams for improved 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.
• Conduct data checks and implement corrections across workflows to ensure accuracy.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Participate in onboarding activities, identifying and setting up new entities across systems.
• Support system integrations and migrations to ensure smooth data transitions.
• Analyze large datasets and provide ad hoc reporting as required.
• Develop tools for identifying, classifying, and deduplicating master data elements.

Job Requirements

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