Head Of Enterprise Nlp And Innovation Data Science
Current
Sep 2023 - Present
AeroLeads people directory · profile
Harsh Singhal Email & Phone Number
AI and ML Leader | Financial Services Executive| Ph.D. Stats
at
Wells Fargo
1 work email found
@c3.ai
3 phones found area 704 and 866
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
AI and ML Leader | Financial Services Executive| Ph.D. Stats
Location
San Francisco, California, United States
Who is Harsh Singhal? Overview
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Quick answer
Harsh Singhal is listed as AI and ML Leader | Financial Services Executive| Ph.D. Stats at Wells Fargo, based in San Francisco, California, United States. AeroLeads shows a work email signal at c3.ai, phone signal with area code 704, 866, and a matched LinkedIn profile for Harsh Singhal.
Harsh Singhal previously worked as Head of Enterprise NLP and Innovation Data Science at Wells Fargo and Senior Director, AI Solutions (Financial Services) at C3 Ai. Harsh Singhal holds Phd, Statistics from University Of Michigan.
Company email context
Email format at Wells Fargo
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{first}.{last}@c3.ai
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AeroLeads found 1 current-domain work email signal for Harsh Singhal. Compare company email patterns before reaching out.
Profile bio
About Harsh Singhal
Proven track record of developing quantitative models to support critical business needs.Specialties: Machine Learning, AI, Econometrics, Interest-rate risk and Credit Risk modeling, Statistical Learning, Large Data Sets, Applied Probability.
Listed skills include Quantitative Finance, Time Series Analysis, Credit Risk, Financial Risk, and 19 others.
Current workplace
Harsh Singhal's current company
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9 roles
Harsh Singhal work experience
A career timeline built from the work history available for this profile.
Senior Director, Ai Solutions (Financial Services)
Jul 2022 - Sep 2023
Head Of Decision Science And Ai Validation, Managing Director
Responsible for setting model development and validation standards for all Decision Science and AI models. Build and lead a team of data scientists to independently validate Decision Science and AI models (marketing, fraud detection, financial crimes detection, credit scoring, customer engagement and personalization AI, etc.). Advocate for responsible and.
Aug 2018 - Jul 2022
Director, Sr. Quantitative Finance Manager
- Responsible for developing modeling framework, methodology, procedures and code library to support Commercial Risk Rating Scorecards (C&I) at Bank of America Merrill Lynch.
- Key deliverables include resolution of all outstanding regulatory issues, integrated commercial credit risk modeling framework across capital, scorecards and loss forecasting, defining standard scorecard modeling.
- Additionally responsible for risk factor identification with emphasis on industry factors (using information from financial statements, Compustat, Equity returns, credit indices, etc.) and credit officer commentary.
Oct 2015 - Jul 2018
Director, Quantitative Finance Manager
Responsible for developing factor models (PD, LGD, EAD) for the retail (mortgage, revolving loans, auto and securities based lending) portfolio for regulatory (Basel) and economic capital purposes including forecasting B3A RWA for CCAR. Responsibilities include working with technology teams to source data, directing quantitative associates, model review.
Jul 2012 - Sep 2015
Sr. Quantitative Finance Analyst
Asset liability management. Develop models to predict NIM and NII for Bank of America to measure interest rate risk and EVE. Model interest rates and cash flows for all the assets and liabilities. These models are used for Stress Testing (CCAR), Interest Rate Risk Management and Strategic Planning purpose.
Jun 2011 - Jul 2012
Quantitative Research Associate
I lead a development team of 6 quantitative associates. The broad mission of my group is consumer analytics and development of leading econometric indicators and innovative methodologies to assess and predict credit risk and revenue at account and pool level. We have developed an integrated suite of models for loss, balance, and revenue forecasting of.
Oct 2008 - Jun 2011
Research Assistant
Statistical analysis of bio-informatics and computer network data.
Aug 2006 - Jul 2008
Oct 2005 - Jul 2006
2 education records
Harsh Singhal education
Phd, Statistics
University Of Michigan
Btech, Mtech, Electrical Engineering
Indian Institute Of Technology, Bombay
FAQ
Frequently asked questions about Harsh Singhal
Quick answers generated from the profile data available on this page.
What company does Harsh Singhal work for?
Harsh Singhal works for Wells Fargo.
What is Harsh Singhal's role at Wells Fargo?
Harsh Singhal is listed as AI and ML Leader | Financial Services Executive| Ph.D. Stats at Wells Fargo.
What is Harsh Singhal's email address?
AeroLeads has found 1 work email signal at @c3.ai for Harsh Singhal at Wells Fargo.
What is Harsh Singhal's phone number?
AeroLeads has found 3 phone signal(s) with area code 704, 866 for Harsh Singhal at Wells Fargo.
Where is Harsh Singhal based?
Harsh Singhal is based in San Francisco, California, United States while working with Wells Fargo.
What companies has Harsh Singhal worked for?
Harsh Singhal has worked for Wells Fargo, C3 Ai, Bank Of America, University Of Michigan, and Pfizer Pharmaceuticals.
How can I contact Harsh Singhal?
You can use AeroLeads to view verified contact signals for Harsh Singhal at Wells Fargo, including work email, phone, and LinkedIn data when available.
What schools did Harsh Singhal attend?
Harsh Singhal holds Phd, Statistics from University Of Michigan.
What skills is Harsh Singhal known for?
Harsh Singhal is listed with skills including Quantitative Finance, Time Series Analysis, Credit Risk, Financial Risk, Statistical Modeling, Econometrics, Machine Learning, and Predictive Modeling.
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