Director, Quantitative Finance Manager @ (July 2012 - September 2015)
Sr. Quantitative Finance Analyst @ (June 2011 - July 2012)
Quantitative Research Associate @ (October 2008 - June 2011)
Research Assistant @ (August 2006 - July 2008)
Research Assistant @ (October 2005 - July 2006)
Harsh Singhal Education
Stanford University Graduate School of Business
Stanford Executive Program
2024-2025
University of Michigan
PhD (Statistics)
2004-2009
Indian Institute of Technology, Bombay
BTech (MTech, Electrical Engineering)
1998-2003
Harsh Singhal Skills
ALM
Analytics
Artificial Intelligence (AI)
Credit Risk
Data Mining
Deep Learning
Digital Transformation
Econometrics
Economic Capital
Financial Modeling
Financial Risk
Hive
Large Language Models (LLM)
Machine Learning
Monte Carlo Simulation
Predictive Modeling
Python
Quantitative Analytics
Quantitative Finance
R
SAS
SAS Programming
SQL
Statistical Modeling
Statistics
Stress Testing
Time Series Analysis
Harsh Singhal Summary
Harsh Singhal, based in San Francisco, CA, US, is currently a Head of NLP and Gen AI Data Science at Wells Fargo. Harsh Singhal brings experience from previous roles at C3 AI, Wells Fargo and Bank of America. Harsh Singhal holds a 2024 - 2025 Stanford Executive Program @ Stanford University Graduate School of Business. With a robust skill set that includes ALM, Analytics, Artificial Intelligence (AI), Credit Risk, Data Mining and more. Harsh Singhal has 2 emails and 2 mobile phone numbers on RocketReach.
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