Deep Sengupta Email & Phone Number
@zestmoney.in
LinkedIn matched
Who is Deep Sengupta? Overview
A concise factual answer block for searchers comparing this professional profile.
Deep Sengupta is listed as Head of Risk for Colending Partnership at Credit Saison India, a company with 1144 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a work email signal at zestmoney.in and a matched LinkedIn profile for Deep Sengupta.
Email format at Credit Saison India
This section adds company-level context without repeating Deep Sengupta's masked contact details.
AeroLeads found 1 current-domain work email signal for Deep Sengupta. Compare company email patterns before reaching out.
About Deep Sengupta
I am finance professional with over 17 years of experience with a broad range of lending…
Listed skills include Statistical Modeling, Sas, Predictive Modeling, Financial Modeling, and 11 others.
Deep Sengupta's current company
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Deep Sengupta work experience
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Head Of Risk For Colending Partnership
Frequently asked questions about Deep Sengupta
Quick answers generated from the profile data available on this page.
What company does Deep Sengupta work for?
Deep Sengupta works for Credit Saison India.
What is Deep Sengupta's role at Credit Saison India?
Deep Sengupta is listed as Head of Risk for Colending Partnership at Credit Saison India.
What is Deep Sengupta's email address?
AeroLeads has found 1 work email signal at @zestmoney.in for Deep Sengupta at Credit Saison India.
Where is Deep Sengupta based?
Deep Sengupta is based in Bengaluru, Karnataka, India while working with Credit Saison India.
What companies has Deep Sengupta worked for?
Deep Sengupta has worked for Credit Saison India.
How can I contact Deep Sengupta?
You can use AeroLeads to view verified contact signals for Deep Sengupta at Credit Saison India, including work email, phone, and LinkedIn data when available.
What skills is Deep Sengupta known for?
Deep Sengupta is listed with skills including Statistical Modeling, Sas, Predictive Modeling, Financial Modeling, Data Analysis, Predictive Analytics, Risk Analytics, and Sas Programming.
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