Gursahib Narula — Director of Engineering
Stackforce AI infers this person is a seasoned Quantitative Researcher in Fintech with expertise in asset management and risk strategies.
Location: New York City, New York, United States
Experience: 17 yrs 4 mos
Skills
- Investments
Career Highlights
- Expert in systematic risk premia strategies.
- Strong background in quantitative finance and asset allocation.
- Proficient in multiple programming languages for financial analysis.
Work Experience
KKR
Director (1 yr 4 mos)
Lord, Abbett & Co. LLC
Quantitative Researcher (6 yrs)
Laurion Capital
Quantitative Researcher (5 yrs)
Deutsche Bank
Associate (4 yrs)
McKinsey & Company
Analyst (1 yr)
Education
Master at University of California, Berkeley, Haas School of Business
Summer School 2010 at The London School of Economics and Political Science (LSE)
M.Tech at Indian Institute of Technology, Delhi