Guru Raghavendra
I build the products behind alternative fund services — where portfolio accounting, ESG data, and EU Taxonomy compliance have to work without fail.
15+ years at J.P. Morgan leading product for Private Equity, Hedge Fund and Bank Loan clients, and the ESG Data Management program that supports them.
Product leadership, grounded in fund operations.
I'm a product leader with over 15 years at J.P. Morgan, building and governing the systems that keep alternative funds — private equity, hedge funds, and traditional bank loans — accurate, compliant, and on time.
For the past three years I've led ESG Data Management, translating EU Taxonomy and ESG scoring requirements into data models, controls, and workflows used across the firm. Before that, I spent five years taking a NAV workflow tool from early concept to a governed, firm-wide platform.
My work sits at the intersection of fund operations, data quality, and product strategy — turning ambiguous regulatory and client requirements into scalable, well-governed platforms, with the vendor relationships and stakeholder alignment to make them stick.
- Based inNew York City Metro
- FocusAlt. Fund Services & ESG Data
- Current roleVP, Product Manager — J.P. Morgan
- Certified inESG Investing (CFA Institute)
- Also trained inApplied Data Science (Python)
Two platforms, nine products, one thread.
Fifteen years, one thread: making fund data trustworthy.
- Owned the data model, controls, and delivery roadmap for ESG and EU Taxonomy data used across fund reporting and client disclosures.
- Drove vendor product management end-to-end: vision, go-to-market rollout, and post-launch optimization.
- Partnered across Fund Accounting, Financial Reporting, Bank Loans, and Tax to run an agile delivery process.
- Led human-centered design-thinking efforts to define and refine the target experience.
- Managed vendor relationships and contract terms to ensure timely delivery.
- Spearheaded a real-time NAV workflow dashboard that helped operations mitigate SLA breach risk.
- Built the governance layer around the platform — SOPs, change management, SLAs, checklists, and trackers.
- Drove a vendor-to-in-house reporting integration that delivered seamless client reporting and saved 1 FTE.
- Owned the end-to-end product cycle for Private Equity and Hedge Fund client onboarding and governance.
- Improved prime broker auto-match rate from 30% to 90% across asset classes through file analysis.
- Onboarded blue-print clients representing over $25B in AUM onto a new strategic platform.
- Resolved 500+ breaks on a $9B Brazilian fund, catching up a NAV that was 3 months behind.
- Led testing and analysis for the firm's new in-house trade capture exceptions tool.
- Automated transmission of PB margin statements, saving 1 FTE.
- Set up the Bangalore hedge fund trade operations team, migrating 30 clients and $30B+ in AUM.
- Migrated 130 Luxembourg funds from accounting to custody books of record.
- Led a SWIFT enhancement project with State Street Bank, saving 3 FTEs.
- Prepared monthly NAV reconciliation analysis for fund valuations.
- Daily cash and position reconciliation, with timely identification and reporting of equity fund overdrafts to portfolio managers.
Where product, data, and fund operations meet.
Product & Program
End-to-end ownership from vision to governed, adopted platform.
ESG & Data
Regulatory data standards translated into working data models.
Fund Operations
Deep operational grounding across the alternatives lifecycle.
A few programs I'd point to first.
Real-time NAV workflow dashboard
Designed and shipped a workflow summary dashboard giving operations teams real-time visibility into NAV status — reducing the risk of breaching client SLAs, backed by a full governance layer of SOPs and change controls.
SLA breach risk mitigated at scaleESG & EU Taxonomy data program
Built the enterprise data model and governance process for ESG scores, ratings, and EU Taxonomy alignment — turning fast-moving regulatory requirements into a reliable, firm-wide data product.
Firm-wide ESG data standardPrime broker reconciliation overhaul
Led file analysis across prime brokers to lift the auto-match rate from 30% to 90% across asset classes, then used the same platform to onboard blue-chip clients representing $25B+ in AUM.
30% → 90% auto-match rate