Gairik Mitra — CEO
Quantitative Finance professional with a decade now at Goldman Sachs, focused on systematic trading and alpha research within Quantitative Investment Strategies (QIS). I specialize in applying advanced statistics, mathematics, and computer science to design, backtest, and scale systematic strategies across global markets. In my current role within the Commodities and Macro Systematic Trading framework, I have built and maintained medium-frequency strategies that capture Alternative Risk Premia from futures and options markets. My work spans volatility carry strategies, rolling futures programs in the commodity beta space, and intraday systematic signals, directly supporting institutional client portfolios. This has given me deep exposure to the design, validation, and live implementation of alpha strategies at scale. Earlier in my career, I gained exposure to quantitative risk modelling, developing expertise in market risk modeling, model validation, regulatory-driven analytics, and performance testing. This foundation sharpened my rigor in empirical model assessment and statistical testing, which I now apply directly to systematic research and strategy development. I bring a research-driven mindset, with strong proficiency in Python, C++, data analysis, and simulation frameworks, and a proven track record of translating theory into robust, production-level strategies. I continue to expand my expertise in systematic alpha research, factor design, and cross-asset strategies, driven by a passion for markets and quantitative innovation. Outside of work, I enjoy world cinema, classical music, and football, and I actively contribute to grassroots football initiatives in India.
Stackforce AI infers this person is a Quantitative Finance expert specializing in systematic trading and risk management.
Location: Bengaluru, Karnataka, India
Experience: 9 yrs 9 mos
Skills
- Quantitative Finance
- Systematic Trading
- Market Risk
- Risk Modeling
- Risk Management
Career Highlights
- Decade of experience in Quantitative Finance at Goldman Sachs
- Expertise in systematic trading and alpha research
- Strong proficiency in Python and statistical modeling
Work Experience
Goldman Sachs
Vice President, Systematic Trading Strategies, Fixed Income Currencies and Commodities (3 yrs 10 mos)
Vice President, Risk Architecture Strats, Risk Division (1 yr 5 mos)
Associate, Risk Architecture Strats, Risk Division (2 yrs)
Senior Analyst, Risk Architecture Strats, Risk Division (2 yrs)
Analyst, Market Risk Management and Analysis (6 mos)
Intern, Market Risk Management and Analysis (2 mos)
MINISTRY OF EDUCATION, GOVERNMENT OF INDIA
Intern, Central Statistics Office (1 mo)
Education
M Stat at Indian Statistical Institute, Kolkata
Bachelor of Science at Presidency University, Kolkata
10+2 at South Point High School, Kolkata