MBA, Finance
SRIDHAR BABU KOKKANTI
Statement of Professional Position · FY2026
Precision at the fund level, where valuation meets verification.
Lead Data Analyst, Private Equity — Limited Partners Operations, S&P Global Market Intelligence. NAV-impacting validation across Private Equity, Real Estate, and Hedge Fund portfolios.
▲4+
Years in fund & debt data
▲3
Asset classes covered
▲2
Firms — S&P Global, Morningstar
▲1
MBA, Finance
Experience
SCHEDULE A — EMPLOYMENT
Dec 2025 — Present
Current
Lead Data Analyst — Private Equity Operations
S&P Global Market Intelligence- Lead valuation, NAV-impacting data validation, and QA of investor- and fund-level financial positions across Private Equity, Real Estate, and Hedge Fund portfolios.
- Analyze fund-level holdings, capital accounts, and cash flow positions against GP-reported financials to assess valuation accuracy and investment performance.
- Review Schedules of Investments and fund reporting packages to analyze portfolio exposures and performance metrics.
- Evaluate valuation trends and exceptions in collaboration with internal operations teams and external fund managers.
- Run QA reviews and control checks to ensure data accuracy, integrity, and audit readiness across reporting cycles.
- Lead workflow automation and portfolio analytics efficiency projects, partnering cross-functionally on system upgrades.
- Develop VBA automation tools and SQL-based solutions to streamline recurring portfolio and investment analysis workflows.
- Mentor team members on complex portfolio and investment analysis issues, managing escalations through to resolution.
- Deliver against strict quarterly reporting deadlines while maintaining high accuracy and control standards.
Jan 2025 — Dec 2025
Senior Data Research Analyst — Debt Capital Structure
Morningstar- Analyzed debt securities, capital structures, and financial disclosures supporting accurate valuation of fixed income holdings.
- Reviewed debt instruments and financial obligations to support security-level valuation and data management.
- Performed detailed validation and reconciliation of information sourced from regulatory filings to support pricing accuracy.
- Identified data anomalies and resolved valuation exceptions through collaboration with internal stakeholders.
- Conducted financial risk assessments, including leverage and debt-related metrics impacting security valuation.
- Used SQL to extract, analyze, and validate large financial datasets for valuation and reporting.
Oct 2022 — Dec 2024
Data Research Analyst
Morningstar- Performed large-scale data reconciliation and QA for debt and capital structure datasets supporting valuation accuracy.
- Investigated and resolved data exceptions and valuation-related discrepancies.
- Collaborated with clients and internal teams to resolve data and valuation queries, ensuring service quality.
- Prepared analytical reports and dashboards highlighting key financial and performance metrics.
- Maintained high data quality standards while processing large volumes of financial information.
Skills & Tooling
SCHEDULE B — CAPABILITIES
| SQL | Data extraction and query optimization across large financial datasets |
| NAV & Fund Accounting | NAV calculation and fund accounting reconciliation |
| Portfolio Valuation | Valuation review and performance analysis across PE, RE, and hedge fund books |
| Financial Statements | Statement analysis supporting pricing and audit-readiness |
| VBA / Automation | Workflow automation tools for recurring portfolio analysis |
| Microsoft Suite | Excel, Word, Power BI, PowerPoint |
| Interpersonal | Cross-functional collaboration, mentoring, escalation management |
Education & Credentials
SCHEDULE C — QUALIFICATIONS
B.Sc., Mathematics
Financial Modelling Certification
Excel Essential Training
Structured Finance Credit Ratings WorkshopCredit rating methodologies and structured finance instruments.
Virtual Financial Analysis InternshipCross-functional data gathering and debt analysis, presented to management.
Financial Statement Analysis InternshipHands-on analysis and interpretation of financial data; collaborated cross-functionally to gather and validate financial information.
Open to conversations on PE operations, valuation, and data quality roles.