Vishv Jeet

About Vishv Jeet

Investment professional with 20+ years of experience across research, portfolio construction, and risk management in both public and private markets. I specialize in multi-asset, factor-based risk and performance analytics, working with asset owners and asset managers to improve decision-making, portfolio design, and capital allocation.My work focuses on turning complex data (both structured and unstructured) into actionable investment insights. I draw on a broad toolkit spanning classical and Bayesian statistics, mathematical optimization, and modern machine learning, including neural and deep learning methods, to address real-world investment problems.Expertise includes: financial risk modeling; performance measurement and attribution; portfolio construction; alpha research; private equity econometrics; optimization; regression and classification; Bayesian data analysis and hierarchical models; machine learning; Gaussian processes; Bayesian networks; neural networks; nowcasting; predictive analytics; and data visualization.Technical stack: R, Python, SQL, Keras, and Java.

Experience

1. Quant

   MSCI Inc.

   Mar 2026 — Present · New York, NY, US

Education

• The University of Texas at Austin

  Ph.D., Operations Research

  2002 — 2006

• Indian Institute of Technology, Bombay

  MS, Operations Research

  2000 — 2001

• Indian Institute of Technology, Bombay

  BS, Mechanical Engineering

  1996 — 2000

Skills

• Operations Research
• Matlab
• Statistics
• Data Mining
• Java
• Analytics
• Mathematical Modeling
• Data Analysis
• Quantitative Analytics
• Quantitative Finance
• Monte Carlo Simulation
• Python
• C/C++ Stl
• Portfolio Optimization
• Financial Risk
• Performance Measurement
• Optimization
• Linear Programming
• R
• Algorithms
• Statistical Modeling
• Machine Learning
• Equity Research
• Equities
• Time Series Analysis
• Portfolio Management
• Performance Attribution
• Risk Analysis
• Bayesian Data Analysis