Summary
Harshit Mishra is a quantitative researcher with 4 years of experience applying machine learning and statistical methods to financial analytics and systematic trading. He has worked across top-tier quant and banking firms—Qube Research, JPMorgan, WorldQuant Predictive and Citi—automating analysis pipelines and building predictive models for cross-asset strategies and credit risk. Trained as an engineer at IIT Kharagpur (BTech and MTech), he blends rigorous academic research—published work on asset pricing and an entropy factor—with practical productionization of ML-driven insights. A restless builder and former co-founder of a notebook advertising startup, he pairs product instincts with hands-on coding (including a Julia-based credit risk tool) to turn data into actionable signals. Based in Faridabad, India, he’s equally comfortable diving deep into low-level machine design or scaling end-to-end analytics, and actively seeks interesting projects that sit at the intersection of finance, ML and systems.
4 years of coding experience
3 years of employment as a software developer
Xth, Xth at Tagore Academy Public School, Faridabad
Master of Technology - MTech Manufacturing Engineering, Master of Technology - MTech Manufacturing Engineering at Indian Institute of Technology, Kharagpur
High School Diploma, High School Diploma at Modern Vidya Niketan, Faridabad
English, Hindi