Head Of Quantitative Research Engineering For Fundamental Equities
CurrentEquity Quantitative Research
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@mckinsey.com
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1 phone found area 888
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LinkedIn matched
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Vincent Chen is listed as Quantitative Development | Equity Quantitative Research at Citadel at Citadel, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a work email signal at mckinsey.com, phone signal with area code 888, and a matched LinkedIn profile for Vincent Chen.
Vincent Chen previously worked as Head of Quantitative Research Engineering for Fundamental Equities at Citadel and Quantitative Strategist at Soros Fund Management. Vincent Chen holds Dual Degree With Baruch College, Statistics & Quantitative Modeling from Macaulay Honors College At The City University Of New York.
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AeroLeads found 1 current-domain work email signal for Vincent Chen. Compare company email patterns before reaching out.
Analytics | Quantitative Development | Operations Research
Listed skills include Analytics, C++, Operations Research, Python, and 34 others.
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Miami, Florida, US
Equity Quantitative Research
Quantitative Data Strategy and Front Office Engineering
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Vincent Chen works for Citadel.
Vincent Chen is listed as Quantitative Development | Equity Quantitative Research at Citadel at Citadel.
AeroLeads has found 1 work email signal at @mckinsey.com for Vincent Chen at Citadel.
AeroLeads has found 1 phone signal(s) with area code 888 for Vincent Chen at Citadel.
Vincent Chen is based in New York City Metropolitan Area, United States, United States while working with Citadel.
Vincent Chen has worked for Citadel, Soros Fund Management, Mckinsey & Company, and Lord, Abbett & Co. Llc.
You can use AeroLeads to view verified contact signals for Vincent Chen at Citadel, including work email, phone, and LinkedIn data when available.
Vincent Chen holds Dual Degree With Baruch College, Statistics & Quantitative Modeling from Macaulay Honors College At The City University Of New York.
Vincent Chen is listed with skills including Analytics, C++, Operations Research, Python, Data Analysis, Applied Mathematics, C#, and Data Visualization.
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