Martin Zhang Email & Phone Number
Who is Martin Zhang? Overview
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Martin Zhang is listed as Director at Ping An Bank Co., Ltd., a with 6766 employees, based in Hong Kong Sar, Hong Kong. AeroLeads shows a matched LinkedIn profile for Martin Zhang.
Martin Zhang previously worked as Deputy General Manager at China Minsheng Banking Corp.Ltd and Assistant Director at Kpmg China. Martin Zhang holds Mphil from The Chinese University Of Hong Kong.
Email format at Ping An Bank Co., Ltd.
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About Martin Zhang
Martin Zhang is a Director at Ping An Bank Co., Ltd.. He possess expertise in sas, basel ii, data mining, credit risk, statistical modeling and 15 more skills.
Listed skills include Sas, Basel Ii, Data Mining, Credit Risk, and 16 others.
Martin Zhang's current company
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Martin Zhang work experience
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Deputy General Manager
Assistant Director
Assistant Director
Senior Associate
Risk Manager
Assistant Risk Manager
Research Assistant
Martin Zhang education
Bachelor
Frequently asked questions about Martin Zhang
Quick answers generated from the profile data available on this page.
What company does Martin Zhang work for?
Martin Zhang works for Ping An Bank Co., Ltd..
What is Martin Zhang's role at Ping An Bank Co., Ltd.?
Martin Zhang is listed as Director at Ping An Bank Co., Ltd..
Where is Martin Zhang based?
Martin Zhang is based in Hong Kong Sar, Hong Kong while working with Ping An Bank Co., Ltd..
What companies has Martin Zhang worked for?
Martin Zhang has worked for Ping An Bank Co., Ltd., China Minsheng Banking Corp.Ltd, Kpmg China, Moody'S Analytics, and Bank Of China (Hong Kong).
How can I contact Martin Zhang?
You can use AeroLeads to view verified contact signals for Martin Zhang at Ping An Bank Co., Ltd., including work email, phone, and LinkedIn data when available.
What schools did Martin Zhang attend?
Martin Zhang holds Mphil from The Chinese University Of Hong Kong.
What skills is Martin Zhang known for?
Martin Zhang is listed with skills including Sas, Basel Ii, Data Mining, Credit Risk, Statistical Modeling, Quantitative Analytics, Quantitative Finance, and Time Series Analysis.
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