Mayank Singhal — CEO
Professional experience in quantitative trading - generating trade ideas and building strategies across asset classes
Stackforce AI infers this person is a Quantitative Trader with a strong focus on commodities trading and systematic strategies.
Location: Geneva, Geneva, Switzerland
Experience: 19 yrs 10 mos
Skills
- Quantitative Finance
- Systematic Trading
Career Highlights
- Expertise in quantitative trading across asset classes.
- Proficient in systematic and algorithmic trading strategies.
- Strong background in statistical modeling and financial analysis.
Work Experience
Cargill
Quantitative Trader (5 yrs 4 mos)
Point72
Quantitative Trader (1 yr)
DRW
Research Analyst (1 yr)
Acceletrade
Quantitative Researcher (3 yrs)
Olam
Quantitative Analyst (3 yrs)
Citigroup
Associate (2 yrs)
INRIA Rennes - Bretagne Atlantique
Research Intern (2 mos)
Research Intern (2 mos)
Max Planck Institute for Mathematics
Internship (2 mos)
IIT Delhi
Integrated Masters in Mathematics & Computing (4 yrs 11 mos)
Education
Integrated M.Tech at Indian Institute of Technology, Delhi
Level II Candidate at CFA Institute