Monitor, validate, and reconcile investment, borrower, fund, and portfolio company datasets across systems (GP and investment portals, CRM, portfolio monitoring platforms, client’s fund accounting systems, data warehouses).
Execute daily/weekly data quality checks: completeness, consistency, timeliness, accuracy, referential integrity, and conformity to data standards.
Identify data anomalies (e.g., cashflow missing / mismatches, NAV validation, document collection and categorization, covenant terms inconsistencies, capital structure errors, valuation discrepancies).
Private Credit & Private Equity Data Oversight
Validate deal-level data: deal terms, financial statements, covenants, instrument characteristics, interest rate details, waterfalls, fund structures, and capital calls.
Support ingestion and validation of third-party data (administrators, agents, rating agencies, market providers).
Cross-Functional Collaboration
Work with client and operations teams to clarify data definitions (deal attributes, credit metrics, performance indicators).
Partner with client servicing and operations teams to align valuation, cashflow, and ownership data.
Collaborate with engineering teams on data pipelines, quality rules, and metadata management.
Issue Management & Continuous Improvement
Maintain a data issue log; triage issues and drive root-cause analysis.
Develop and implement new data quality rules, exception reports, and validation controls.
Recommend process and system enhancements to reduce manual intervention and improve efficiency.
Reporting & Documentation
Prepare data quality dashboards, metrics, and status updates for management.
Document data standards, data dictionaries, lineage, and workflows for Private Credit & PE datasets.
Qualifications
Required
Bachelor’s degree in Finance, Economics, Data Analytics, Information Systems, or related field.
2–5+ years of experience in data quality, investment operations, data governance, or analytics within Private Credit, Private Equity, or broader Alternative Investments.
Strong understanding of credit instruments, private equity deal structures, financial statements, and portfolio monitoring metrics.
Proficiency in Excel and SQL; experience with data validation and reconciliation techniques.
Ability to interpret investment documents (term sheets, credit agreements, fund docs) is a strong plus.
Excellent analytical, communication, and problem-solving skills.
Preferred
Experience with systems such as iLEVEL, AllVue, Black Mountain/ALM, Salesforce, Snowflake, Power BI/Tableau, or similar.
Exposure to data governance frameworks (e.g., DAMA, DQ standards).
Knowledge of fund accounting and private markets valuation processes.