- 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
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights.
The result? Investment management that works as seamlessly as your investment strategy.
Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world.
What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
