Since 2010, Yu Zhou has been working in KMK Consulting Inc. Yu Zhou is a proficient Marketing Analyst at Novartis with over 16 years of work experience. According to Yu's CV and work profile, this expert has worked at more than three companies with diverse backgrounds and got various skills. Yu attended school at the Columbia University in the City of New York from 2007 to 2009. Yu can be found in Morristown, New Jersey – where the professional currently lives. You can search for Yu's phone and email. We can also provide you additional contact information upon request.
Name variants:
Yu Zhou
Last updated Jun 25, 2024
Contact Information
Last Update
Jul 12, 2022
Email
yz**@caa.columbia.edu, jo**@gmail.com
Location
Morristown, NJ
Company
Workplace
Colleagues
Work History
Marketing Analyst at Novartis
East hanover
Support Novartis largest cardiovascular product Diovan and Exforge, which generate 2.5 billion dollars revenue per year for Novartis. Conduct all kinds of data analysis and provide market ov...
from Mar 2010
Research Assistant
New York
• Conducted quantitative research with the fund’s proprietary model- SuperG/PoD Model, proposed trading strategy and risk management
• Decomposed the S&P DTI, recombined the asset compon...
May 2009 — Dec 2009
Equity Trader
New York
• Monitored the price and volume of preferred stocks and made high frequency trading of these stocks
• Estimated the P/L of trading and conducted risk management
Mar 2009 — May 2009
Education
2007 — 2009
2003 — 2007
2003 — 2007
Occupations
Executive
Deputy Director
Marketer
Market Analyst
Scientist
Research Assistant
Artist
Model
Deputy Manager
Chief Executive
Market Research Analyst
Researcher
Survey Researcher
Skills
Computer
Trading
Quantitative Analytics
Risk Management
Portfolio Management
Data Analysis
Financial Analysis
Financial Risk
Portfolio Optimization
Quantitative Research
Sas
R
Statistical Modeling
Sas Programming
Vba
Time Series Analysis
Predictive Modeling
Analytics
Business Analytics
Data Mining
Segmentation
Statistics
Analysis
Predictive Analytics