JJinyu Chen's email & phone
How to contact Jinyu Chen
0% completed
Looking for a different Jinyu Chen?
Sign up to search for other Jinyu Chen's across our 850M+ professionals databaseWork Experience
May 2025 - Current
Jul 2024 - Aug 2024
Jun 2024 - Aug 2024
Jan 2024 - May 2024
Sep 2023 - Dec 2023
Sep 2023 - Dec 2023
May 2022 - Jun 2023
Feb 2022 - Jun 2022
Feb 2021 - Dec 2021
Mar 2021 - Jun 2021
Aug 2021 - Sep 2021
Aug 2020 - Sep 2020
Education
Master of Operations Research at Columbia University
Bachelor of Science - BS at 上海大学
西安市铁一中学
Frequently Asked Questions
What is Jinyu Chen's minimum period of employment in the companies?
Jinyu Chen's minimum period of employment in various companies is 1 month.What is Jinyu Chen's average duration of employment for different companies?
On average, Jinyu Chen works for one company for 4 monthsWhat industries has Jinyu Chen worked in?
Jinyu Chen works in the Banking. Previously, Jinyu Chen worked in the Mental Health Care, and Higher Education, and Financial Services, and Education Management, and Market Research.What positions has Jinyu Chen held before?
Previously, Jinyu Chen worked as a FinTech Intern, and Business Development & Analytics Intern, and Teaching Assistant, and Research Assistant, and Quant Research Assistant.How do I contact Jinyu Chen?
Jinyu Chen's email address is c****j@bocusa.com, phone number is +1-***-***-2398. Sign up to get contact details.Who are Jinyu Chen's peers at other companies?
Jinyu Chen's peers at other companies are James Reardon and Cody Smith and Zack McClureSimilar profiles
Other employees at Bank of China USA
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
