About

Nishith Kumar is a Director of Data Science at UBS, with a strong background in tech leadership, digital, and cloud. He has over 12 years of relevant experience working with top-tier financial institutions, including Goldman Sachs, Morgan Stanley, Credit Suisse, and BAML. Nishith's expertise lies in CTO leadership, product management, data architecture, team building, machine learning, deep learning, NLP, graph analytics, and statistical modeling. He is also proficient in Azure ML and MLOps, making him a valuable asset to any organization. Previously, Nishith held the position of Vice President, Strats at Goldman Sachs, where he worked on data science, BI, and quant modeling. He was also responsible for quantitative analysis, post-trade TCA, and trade P&L/unwind cost research. At Credit Suisse, he served as AVP, Quantitative Research & Modeling, where he focused on data science/machine learning, quantitative analysis & modeling, predictive modeling in trading, optimal portfolio analytics, market structure research, and transaction cost analysis/modeling. Nishith holds a Master's degree in Mathematics & Computing from the Indian Institute of Technology, Delhi, and a MicroMasters in Statistics & Data Science from MITx on edX. He has a strong technical background and is proficient in several programming languages, including SQL, Python, Java, and Scala. He also has experience with big data technologies such as Hadoop, Spark, and Kafka, and has worked with popular machine learning frameworks like TensorFlow, Keras, and Scikit-learn. Overall, Nishith is an accomplished data scientist and tech leader with a broad range of skills and experience. He is an excellent team builder and has a proven track record of delivering successful projects in complex environments.