Cornell-Citi Financial Data Science Seminars: Alok Dutt (Citigroup)

Description

The Cornell-Citi Financial Data Science seminars will commence in the spring semester with Alok Dutt (Citi). He will be giving a talk titled "Data Science in Financial Markets: Hype v. Useful Practical Reality" on Wednesday, 3/4. This will be held in Room 131 in the Tata Innovation Center from 6:00pm to 7:00pm. Seminars are free. However, registration is required for NYC attendees as seating is limited. Please RSVP: https://cornell.qualtrics.com/jfe/form/SV_0Io0eLCf08VuzKl This seminar will be recorded. Watch the livestream: https://cornell.mediasite.com/Mediasite/Play/22bc3240af9c423a8239f8e14462621c1d Abstract: The data-driven fields of AI and ML are ubiquitous in the financial industry, but despite the promise there are many obstacles to effective application. Few firms are able to reap their full rewards and it is increasingly important to distinguish what works from what doesn’t in practice. How does one navigate the opportunities and challenges amid the plethora of techniques and complexities of implementation? This talk will present a number of general principles and case studies that can help make the necessary choices to realize the transformational potential of data within a financial institution. Speaker Bio: Alok Dutt is Head of Analytics in the Markets Quantitative Analysis division at Citigroup. He is an architect and manager responsible for various advanced projects in data analytics, trading algorithms and automation across multiple business lines and asset classes. In his role at Citi he applies data and quantitative techniques to automate business processes including research, modeling, trading, simulation and visualization. Alok has extensive experience in several broad areas of quantitative finance, including exotics modeling, algorithmic trading and market making. Before Citi, he developed the trading models and algorithms for a new automated options market making group at Morgan Stanley that was the subject of a HBS case study on disruptive innovation. Prior to that, Alok was an exotics modeler and trader and established the first multi-asset hybrid trading desk at Bank of America. Alok has a PhD in Computer Science from Yale University and a BA in Mathematics from Cambridge University.