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Neil Menghani is a Data Scientist who currently works at Dataiku. Prior to working at Dataiku, Neil was a Machine Learning Engineer at Morgan Stanley from February 2019 to January 2021. While at Morgan Stanley, Neil utilized big-data tools to build margin lending models for the Quantitative Finance Team. Neil also developed a framework and built an unsupervised risk model to generate alerts for thousands of client portfolios. In addition, Neil built a scalable model to detect and prevent malicious activity. Lastly, Neil built a trading system from scratch to communicate with a simulated exchange via REST APIs as part of a challenge during the training program. Prior to working at Morgan Stanley, Neil was a Data Scientist Intern at Morgan Stanley from June 2018 to August 2018 and a Data Analyst Intern at Lincoln Financial Group from June 2016 to August 2016.

Neil Menghani has a Master of Science from New York University in Mathematics, a Bachelor of Arts from Columbia University in Computer Science and Economics-Mathematics, and a Certification from Bloomberg LP in Bloomberg Market Concepts. Neil attended The Lawrenceville School for High School.

Neil Menghani reports to Clément Stenac, Co-Founder & CTO. They are on a team with Jed Dougherty - VP, Field Engineering, Kenji Lefevre - VP, Product, and Hillorie Farace Di Villaforesta - Head of Cloud Alliances.