Gaurav Gupta

Principal, Investment Intelligence

Financial services executive with 14+ years of leadership across risk, analytics, and quantitative strategy. Builds and scales global functions that integrate investment insight, data science, and governance to strengthen enterprise performance. Recognized for aligning risk intelligence with firmwide growth, quantitative rigor, and strategic decision transparency.

Certifications

CAIA Private Credit2023

CAIA Digital Assets2024

Top Achievements

Built and scaled the Core Strats function supporting $125B+ AUM, reducing risk reporting turnaround by 90% — HPS/BlackRock PFS

Introduced ML ensemble methods improving downgrade and default forecasting accuracy by 60%, reducing loss rates by 40bps — HPS

Designed scorecard-based credit risk framework adopted across 25% of investment decisions — HPS

Spearheaded generative AI initiatives across 2K+ credit documents, accelerating monitoring by 75% — HPS/BlackRock PFS

Institutionalized data governance and analytics frameworks improving data accuracy and access speed by 70% — Quantitative Strategy

Career

2026

Principal, Investment Intelligence

NYC based Investment Manager

Building the next chapter in institutional investment intelligence.

2025

Executive Director, Head of Core Strats

HPS/BlackRock PFS, NY

$125B+ AUM. AI/ML. CRO/CIO alignment.

Founded, scaled, and led the Core Strats function to advance CRO's strategic priorities and shape risk/portfolio construction/monitoring
Supported $125B+ AUM across multi-asset portfolios, reducing risk reporting turnaround by 90%
Partnered with CRO, Head of Quant Credit, and BlackRock platform leads to execute enterprise-wide risk, governance, and data strategy
Spearheaded GenAI initiatives across 2K+ private credit documents, accelerating monitoring by 75%, improving model accuracy by 15%
Prototyped AI-driven tools including risk Q&A chatbot and NL scenario-stressing engine, cutting manual modeling by 15 hrs/week
Led team of 5 quantitative researchers, 20% internal promotion rate
Strategic advisor for HPS Risk framework integration into BlackRock's global platform

2021

VP, Quant Credit & Risk

HPS, NY

Founding member. ML models, $90B+ private credit.

Founding member of Quant Credit, designing frameworks for credit diligence across $90B+ private credit
ML ensemble methods: 60% accuracy improvement in downgrade/default forecasting, 40bps loss reduction
Scorecard-based credit risk framework embedded in 25% of PM investment committee decisions
Optimized structuring/restructuring decisions, ~33% efficiency gain in underwriting cycle time
Directed and mentored cross-functional teams of VPs, associates, and analysts across three offices globally

2018

Quant Strategy Consultant

HPS Investment Partners, NY

$50B+ multi-strategy portfolios.

Partnered with MDs on multi-strategy portfolios (private credit, structured credit, distressed debt), 10% risk-adjusted return improvement
Bridged investment and technology teams, institutionalizing analytics and data governance, improving accuracy/access speed by 70%
Built firmwide Power BI system unifying counterparty risk data, boosting CFO visibility, improving treasury efficiency by ~10-15%
Led firmwide education initiatives to upskill 45+ PMs and analysts on data-driven investment frameworks

2018

Consultant

Everest Re, NJ

Wildfire exposure, geospatial analytics.

Developed automated analytics and reporting tools for wildfire exposure underwriting and risk management
Designed interactive dashboards to visualize loss trends and exposure data
VBA and R scripts for geospatial wildfire data extraction and analysis
Power BI mapping of high-risk zones for data-driven underwriting decisions
Delivered portfolio allocation and hedging strategy recommendations to underwriters

2015

Analyst

OpenLink Financial, NY

Financial modeling, Monte Carlo, P&L analytics.

P&L, balance sheet, and cash flow modeling with ROI, trend, and variance analysis
Power BI, SQL, and Excel for financial data visualization and revenue trend analysis
Monte Carlo simulations in Python for COGS, revenue, and profit forecasting
SG&A cost-control recommendations reducing expenses by 5% YoY
Cross-functional collaboration with domestic and international teams

2011