About

Gaurav Sharma is a skilled Software Engineer at Fidelity Investments with a passion for integrating finance and data science to solve real-life problems. He stumbled upon the famous Black Scholes model during his college life, which sparked his interest in finance, programming, statistics, and data science. He has since worked as a data engineer in the financial services industry and has developed a vision to build solutions that integrate finance and data science. In his current role at Fidelity, Gaurav has worked on several projects that have strengthened his vision, such as predicting hard-to-borrow securities for securities lending and building a quant model to determine the intrinsic offer spread of bonds for fixed income trading. He leverages technologies like Python, machine learning, and deep learning to achieve these goals. Gaurav is a team player who strongly believes in collaborative learning. He is always enthusiastic about incorporating newer tools and technologies into his arsenal. His competencies include multiple programming languages, financial analysis, and data analysis and predictive modeling. When he is not working, Gaurav enjoys playing football and guitar. He believes that staying fit and creative helps boost his professional life as well. Gaurav is a CFA Level 2 candidate with 3.44 years of relevant experience. He is looking forward to collaborating with enthusiastic data scientists, financial analysts, credit risk analysts, equity research analysts, investment bankers, and quantitative analysts to build better products with a consumer-centric mindset.