Rahul Subramaniam — CEO

I'm a Computational Data Science Post Graduate from Columbia University who currently works as a Quant Modelling lead in Credit Risk for JP Morgan Chase. My past education and work experiences make me a great fit for Computational Mathematics roles, particularly in the Financial Data Science space. I have a strong grasp on programming languages such as Python and SQL through various internships and subsequent employment prior to my Masters. My experience at Orenda as a Quant Analyst Intern gave me the opportunity to work with Time Series and Deep Learning frameworks in Price prediction problems. Furthermore, projects in my undergraduate institution exposed me to several Machine Learning and NLP libraries. I have cleared my CFA level 2 and CQF Level 1 exam will soon be taking the CFA Level 3 exam to hone my skills in the investment domain. In addition to my strong technical skills, I am a quick learner. I’m currently pursuing my level 2 improv at the Magnet theatre and have performed there in the past. I excel in leadership roles, as evidenced by the time I was able to actively take up responsibilities as a member of the Columbia Data Science Student Council. My experience as a core team member of the Entrepreneurship Cell of my college is testimony to the fact that I work well in a team.

Stackforce AI infers this person is a Fintech professional with strong expertise in quantitative analysis and data science.

Location: New York, New York, United States

Experience: 5 yrs 1 mo