Data Operations Analyst

Responsibilities: Review and analyze large volumes of historical trading activity across multiple asset classes, investment vehicles, and counterparties. Extract, consolidate, and organize raw trading data into clean, standardized datasets. Perform detailed data quality reviews, audits, and reconciliations to identify inconsistencies, gaps, and duplicate records. Validate executing broker, clearing counterparty, and account information against internal records and external sources. Cleanse and standardize data, including legal entity names, account identifiers, and other reference information. Leverage Excel and AI-based tools to improve data review, analysis, and processing efficiency. Identify trends, discrepancies, and relationships within historical data and translate findings into clear, actionable insights. Partner with Operations, Risk, Technology, and other internal teams to resolve data discrepancies and ensure accuracy. Help establish repeatable processes and documentation to support ongoing data maintenance and quality control.

Qualifications: Experience in data analysis, data entry, data quality, auditing, operations, or a related analytical function. Financial services experience is a plus. Strong Excel skills and experience working with large datasets and high volumes of information. Comfortable leveraging AI-based tools responsibly to assist with data analysis, review, and process efficiency. Strong attention to detail with the ability to identify inconsistencies, investigate discrepancies, and reconcile information. Ability to interpret raw data, understand what the information represents, and communicate findings clearly. Exposure to SQL, Python, or other data tools is a plus, but coding experience is not required.