Join us for the Brooklyn Quant Experience (BQE) Lecture Series on Thursday, September 30th at 6 pm ET on Zoom. Only the NYU Community is allowed to attend in person until further notice. All other guests can attend synchronously via Zoom.
Charles Fishkin
Adjunct Professor
Financial Engineering
Baruch College
*Please note a meeting password is required for this event.
Meeting ID: 969 2829 7700
Password: BQECF930
Featuring Machine Learning experts from Cornell, Citi, and more…
You and your colleagues are invited to attend the Cornell – Citi Financial Data Science Webinars. Through the online talks in Fall 2021, we are excited to collaborate with Citi in highlighting machine learning applications in finance.
All webinars are from 5:00 pm to 6:00 pm ET.
This webinar is free and open to all guests. Registration is required (RSVP). You will receive the webinar link and dial-in info upon registration (the confirmation email will come from
no-reply@zoom.us)
Date: Tuesday, October 5th, 2021
Time: 5:00 pm – 6:00 pm ET
Speaker: Alok Dutt | Citigroup
Title: “The Top Challenges for a Financial Data Scientist (and How to Overcome Them)
Abstract
The confluence of data availability, business needs, technological advances, and education have created great opportunities for data science and data scientists in the financial industry. However, after plunging into a project, a data scientist often encounters several real-world obstacles that they may not be prepared for. Fortunately, most of the issues fall under a small number of categories and can be handled with some prior knowledge and information. We will describe some of the major challenges to achieving successful results, and some techniques and principles to accelerate the practical learning curve to become an effective data scientist.
Speaker Bio
Alok Dutt is Head of Analytics in the Markets Quantitative Analysis division at Citigroup. He is responsible for a variety of advanced projects in automation, trading algorithms, data science, and data engineering 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 an HBS case study on disruptive innovation in a large organization. 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 Ph.D. in Computer Science from Yale University and a BA in Mathematics from Cambridge University.
We hope to see you online!
The Cornell-Citi Team
**Please excuse any duplication of this announcement
If you are interested in our past seminars, you are welcome to subscribe to our YouTube Channel and watch our videos!
Upcoming CFEM Events
Oct. 26th, 2021
Speaker: Zihao Zhang (Oxford-Man Institute)
Title of Presentation: TBD
Nov. 16th, 2021
Speaker: Laura Leal (Princeton)
Title of Presentation: TBD
The Brooklyn Quant Experience (BQE) Lecture Series will return for the Fall 2021 semester on Thursday, September 23rd at 6 pm ET on Zoom. Only the NYU Community is allowed to attend in person until further notice. All other guests can attend synchronously via Zoom.
“What are the Technical Errors on Covid?”
Nassim Nicholas Taleb
Retired Distinguished Professor
Department of Finance and Risk Engineering
NYU Tandon School of Engineering
*Please note a meeting password is required for this event.
Meeting ID: 971 7885 1816
Password: BQENT923