Associate

We are seeking an Associate to join our team in Wilmington, DE. The successful candidate will be responsible for validating, maintaining, and enhancing the accuracy, completeness, and timeliness of financial instrument reference data used across investment, risk, and operational workflows.

Key responsibilities include:

• Performing daily and recurring quality control (QC) reviews on security level reference data to ensure accuracy and consistency across internal data systems and downstream consumers
• Monitoring, overseeing, and taking action on US time zone–specific critical QC checks and automation jobs to ensure timely issue detection, resolution, and operational continuity
• Investigating data discrepancies, exceptions, and breaks identified through automated and manual QC reports, and determining appropriate remediation actions in accordance with established data governance standards
• Analyzing trends in data quality issues to identify root causes, recurring patterns, and opportunities for process improvement or automation
• Developing and maintaining automation solutions using Python, SQL, and related data tools to streamline QC checks, reduce manual effort, and improve operational scalability
• Executing data extraction, transformation, and validation tasks using structured query language (SQL) and internal data platforms to support QC workflows and ad hoc investigations
• Partnering with internal technology, data engineering, and product teams to support enhancements to QC logic, resolve data issues, and ensure alignment between business requirements and technical implementations
• Coordinating with global DIG team members to ensure consistent application of QC standards and timely resolution of data issues across regions
• Preparing documentation and written explanations of data issues, QC logic, and remediation outcomes for internal stakeholders, audit reviews, and operational transparency
• Supporting audit and compliance inquiries by providing data evidence, analysis, and explanations related to DIG quality control processes
• Participating in continuous improvement initiatives aimed at enhancing data quality frameworks, reporting metrics, and automation coverage within the DIG QC function

Requirements:

• Bachelor's degree in Business Analytics, Finance, Data Analytics or a related field
• 24 months of experience
• Experience with Python and SQL including pandas, NumPy, pyodbc, paramiko, SQL Server, data validation, and ETL scripting
• Experience with Data Analysis and Risk Management tools and techniques including trend analysis, exception analysis, team metrics analysis, risk identification, and mitigation
• Experience with Financial services including reference data, securities data, fund data, market data and investment operations
• Experience with Aha! and Azure DevOps (ADO) including requirements tracking, backlog management, and user stories
• Experience with Client Data Support including ad-hoc issue investigation, client queries, SLA-driven support, and client QC demo and training
• Experience with Tableau and Power BI
• Experience with Data Quality Control and Validation including reconciliations, rule-based QC, and exception management
• Experience with Automation and Process Improvement including workflow optimization, and manual-to-automated transitions
• Experience with Data Governance and Controls including data ownership, asset class subject matter expert, and controls documentation
• Experience with Operational Risk Awareness including identifying control gaps, escalation, impact assessment, and preventive controls
• Experience with Bloomberg Terminal

Benefits:

• Salary: $95,000.00 - $135,000.00
• Annual discretionary bonus
• Healthcare
• Leave benefits
• Retirement benefits
• Tuition reimbursement
• Flexible Time Off (FTO)