Tejas Anand — Advisor
Experienced in mining large datasets. Love reading about various economic concepts and designing problems. Advisor @ Economics Club IIT Delhi
Stackforce AI infers this person is a Fintech and AI enthusiast with strong quantitative research skills.
Location: Delhi, India
Experience: 3 yrs 10 mos
Skills
- Event Organization
- Option Theory
- Quantitative Research
- Game Theory
- Information Retrieval
- C++
Career Highlights
- Built a multimodal search engine for fashion discovery.
- Advisor at Economics Club IIT Delhi.
- Won first prize in a Game Theory trading competition.
Work Experience
Flow Traders
Quantitative Research + Trading (2 mos)
Economics Club, IIT Delhi
Advisor (11 mos)
Coordinator (11 mos)
Executive (1 yr)
Volunteer (1 yr)
Jump Trading Group
Winner (1st Prize) (0 mo)
Stylout AI
Co-Founder (6 mos)
Jane Street
Mystery Planet (0 mo)
Qube Research & Technologies
Quant Research Challenge (2nd Position) (0 mo)
Google DeepMind
Delegate (0 mo)
Citadel Securities
Market Making (1st position) (0 mo)
Kyoto University
Research Fellow (1 yr 1 mo)
Inria
Research Assistant (2 mos)
Board for Student Welfare (BSW), IIT Delhi
Academic Mentor (1 mo)
Office of Career Services, IIT Delhi
Head Volunteer (0 mo)
Education
BTech + MTech at Indian Institute of Technology, Delhi
at Amity International School Mayur Vihar