Rishabh Agrawal — CEO

Rishabh, a graduate of IIT Guwahati, is highly passionate about Machine Learning, Trading, and Mathematics. He currently works as a Quantitative Trader at a leading prop trading firm in India. He has previously worked as an Interest Rates Quant at JPMorgan. He has deep expertise in Quantitative Finance, Python, OOPS, C++, Machine Learning, Statistics, Linear Regression, Time Series Analysis, Probability Theory, Interest Rates modeling, Algorithms, and Data Structures - as demonstrated through various projects undertaken at his work and global contests. Key Achievements: • Global Rank 15, NFT Price Prediction Challenge, Bitgrit, 2023 • India Rank 1, American Express, Analyze This (Credit Modeling Challenge), 2020 • India Rank 1, EXL Excellence Quotient (Machine Learning Challenge), 2020 • India Rank Under 30, JPMC Quants Challenge, 2020 • Best Institute Secretary 2020 (awarded by Senate), Technical Board IITG, 2020 • Global Rank under 50, Copenhagen Business School Case Competition, 2020 • Silver Medal, Case Competition, Inter-IIT Tech Meet (Roorkee), 2019 • Global Rank 8, Indian Case Challenge, IIT KGP, 2019 • Global Rank 7, Creative Shock (represented India at Vilnius), 2018

Stackforce AI infers this person is a Quantitative Finance professional with expertise in algorithmic trading and data analysis.

Location: Delhi, India

Experience: 4 yrs 9 mos