About

Nikita Saini is a highly skilled Financial Data Analyst with a passion for FinTech and Data Science. With a Bachelor's Degree from the Indian Institute of Technology, Roorkee, and a Master of Science in Business Analytics from the University of Minnesota, Nikita has a strong educational background in Engineering and Business Analytics. Currently, Nikita is working as a Senior Software Engineer at Quantitative Brokers, where she utilizes her skills in Python, Kdb+/q, and R to derive insights from High Frequency Trading Data. She has also worked on building Machine Learning models and statistical approaches using Market conditions to predict the tradability of Spreads and generate signals for an index level pull-out in case of undesirable scenarios. Prior to her role at Quantitative Brokers, Nikita worked at Citigroup as a C10 Officer on the Options Market Making Team, Equities. Here, she utilized her expertise in Python and Kdb+/q to derive insights from High Frequency Trading Data and build Machine Learning models to predict the tradability of Spreads. In addition to her experience in the financial services industry, Nikita has also worked as a Technical Intern at Schlumberger, where she computed earth layer parameters and modeled well log responses for better reserve estimation in high angle oil wells. With a strong background in Software Engineering, Data Science, and Machine Learning, Nikita is a highly skilled professional with 4.78 years of relevant experience. She is passionate about utilizing her skills to drive business growth and innovation in the FinTech industry.