Reference Data Analyst

Reference Data Analyst – Investment Management Location: New York, NY (Hybrid, Monday - Thursday onsite, Friday WFH) Duration: 6-month contract, potential for extension Position Overview A leading global investment management firm is seeking a detail-oriented and analytical Reference Data Analyst for a high-impact project within its Operations team. This individual will work with large volumes of historical trading data, identifying discrepancies, reconciling information, and transforming complex datasets into accurate, actionable insights. The role offers exposure to investment operations, trading infrastructure, and cross-functional teams across a sophisticated financial services organization. This is an excellent opportunity for a recent graduate with relevant internship experience, an early-career data professional, or an experienced analyst who enjoys working independently on complex data projects. Key Responsibilities Review, analyze, and reconcile large datasets containing historical trading activity across multiple asset classes and counterparties. Identify data inconsistencies, duplicate records, missing information, and other discrepancies. Consolidate and standardize information from multiple sources to ensure accuracy and consistency. Analyze trading relationships, including executing brokers, clearing counterparties, and investment accounts. Translate raw data into organized, meaningful information that supports business decisions. Collaborate with Operations, Risk, Technology, and other internal stakeholders to validate information and resolve discrepancies. Develop efficient, repeatable processes for data review, reconciliation, and reporting. Leverage Excel and other analytical tools, including AI-assisted solutions where appropriate, to improve efficiency and accuracy. Qualifications Bachelor's degree preferred; recent graduates and candidates with relevant internship experience are encouraged to apply. Strong Excel skills required , including experience organizing, manipulating, and analyzing large datasets. Experience with data analysis, data reconciliation, data quality, audit, or operations preferred. Strong attention to detail and ability to identify patterns, inconsistencies, and errors in complex information. Ability to interpret raw data, investigate discrepancies, and communicate findings clearly. Comfortable working independently, taking ownership of projects, and navigating ambiguity. Strong problem-solving, organizational, and communication skills. Interest in financial markets, investment management, or trading operations preferred; prior financial services experience is not required. Experience with SQL, Python, or AI-based analytical tools is a plus, but not required. Why This Opportunity? Gain exposure to a leading global investment management firm. Work on a meaningful, firm-wide data initiative with direct business impact. Collaborate with professionals across trading operations, risk, and technology. Develop valuable analytical and financial services experience in a highly collaborative environment.