- 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).
- 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).
- 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.
- 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.
- Prepare data quality dashboards, metrics, and status updates for management.
- Document data standards, data dictionaries, lineage, and workflows for Private Credit & PE datasets.
- Bachelor’s degree in Finance, Economics, Data Analytics, Information Systems, or related field.
- 0 - 2 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.
- 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.
Top Skills
What the Team is Saying
What We Do
Enfusion, a Clearwater Analytics company (NYSE: CWAN), helps investment managers solve their most pressing challenges by approaching innovation from a fundamentally different perspective. Our cloud-native, multi-tenant architecture powers continuous innovation, non-disruptive upgrades, and unmatched speed to market for institutional investors. We empower them to see clearly—so they can act with confidence.
From hedge funds to asset managers, we support firms in streamlining operations and scaling efficiently, so they can remain focused on performance and strategy. Our global team supports over 14,500 investment managers across nine global offices on four continents.
Follow Clearwater (https://builtin.com/company/clearwater-analytics) to stay informed on how we’re driving the future of investment technology—together.
Why Work With Us
Enfusion is your opportunity to pursue your passion, showcase and further develop your skills, and launch a meaningful and rewarding career. Our environment is collaborative and entrepreneurial. We’re self-starters who work together to solve challenges and propel our mission forward. Enfusion is where your future meets the future of finance.
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Enfusion, a Clearwater Analytics company Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
