Alankrit Garg — AI Researcher
I'm a Quantitative Researcher with more than 2 years of experience in Algorithmic Trading. As a Quantitative Researcher, I have developed a reputation for generating stable profit generating models and signals, and am known for the research on the edge of Artificial Intelligence and Financial Modelling. Prior to the current role, I worked at Samsung Research as a software developer, where I passed the prestigious Samsung SWC Professional Test. I hold a graduate degree in Mathematics and Computer Science from IIT Delhi, where I consistently maintained high CGPA and balanced sports and other activities too. At Totido, I am responsible for modelling markets, generating signals and developing strategies to capture as much alpha, and have successfully made stable profit making models. Owing to my deep interest in mathematics, I am quite passionate about my work in the Algo Trading domain and committed to consistently getting better at understanding the markets. Outside work, I can be mostly found playing badminton which is the other thing I am equally passionate about and have played several state level tournaments as well.
Stackforce AI infers this person is a Quantitative Researcher with a strong focus on Fintech and algorithmic trading.
Location: New Delhi, Delhi, India
Experience: 6 yrs 8 mos
Skills
- Quantitative Finance
- Financial Modeling
- Trading Strategies
Career Highlights
- Expert in developing profitable trading models.
- Strong foundation in mathematics and computer science.
- Passionate about algorithmic trading and AI integration.
Work Experience
Algoquant
Quantitative Researcher (4 yrs 4 mos)
Totido
AI Researcher (4 yrs 4 mos)
Samsung Electronics
SDE (1 yr 5 mos)
Summer Intern (2 mos)
Mathematics Society IIT Delhi
Coordinator (11 mos)
Rendezvous IITD
Infrastructure Coordinator (6 mos)
Education
Bachelor of Technology at Indian Institute of Technology, Delhi