The Quant-essential Qualities: Insider Insights for Thriving in Algorithmic Trading

Abstract: The world of quantitative trading is notoriously siloed, secretive, and intensely competitive. In this talk, Hanna and Dan will offer an insider's perspective on quant trading, sharing insights from our firm, and outline the key qualities you can cultivate to excel in the industry.

Daniel Goldbach, Quantitative Developer

Dan has worked at Quadrature for 9 years in various roles across research and technology, including Head of ML Infrastructure. Dan now focuses on low-latency research and trading systems.

Hanna Yakubovich, Quantitative Developer.

Hanna has been at Quadrature for 4 years and worked on various projects including low-latency infrastructure optimization and portfolio construction. Hanna is currently focusing on alpha forecasting research.

CSAIL Alliances & FinTechAI@CSAIL Board Member Royal Bank of Canada (RBC) Borealis AI Group will be at CSAIL on 9/22 in Kiva to deliver a technical talk from Dr. Greg Mori as well as connect with interested students for job opportunities. 

Talk Title: Foundation Model Challenges and Opportunities in Financial Services

Monday 9/22 in Kiva 32-G449 12-1pm EST.  Food will be served so please register for accurate food order!

Registration link for the event: https://lu.ma/2fygnljp

Speaker: Dr. Greg Mori, VP, RBC AI Fellow at RBC Borealis and Adjunct Professor in the School of Computing Science at Simon Fraser University.

Talk Abstract:  Financial services are at the core of our economy. Opportunities for machine learning abound in this space, from capital markets to insurance services to wealth management to lending to tools that assist clients in managing their money.  Modern machine learning methods have transformed industries, yet particular challenges exist in realizing the full potential of machine learning in financial services.  These include explainability, data imbalance, partial observations, distribution shift, and self-supervised learning in low-signal settings.  I will describe the ATOM foundation model, which specializes in learning from asynchronous event sequences, to maximally utilize the richness of transactional data in financial services.

Speaker Bio: Greg Mori is VP, RBC AI Fellow at RBC Borealis, where he leads AI Research and Innovation.  He is also an Adjunct Professor in the School of Computing Science at Simon Fraser University.  He received a Ph.D. in Computer Science from UC Berkeley in 2004 and an Hon. B.Sc. in Computer Science and Mathematics from the University of Toronto in 1999.  He was a Visiting Scientist at Google in Mountain View, California in 2014-2015. He served as Director of the School of Computing Science at Simon Fraser University from 2015-2018.  Dr. Mori conducts research in computer vision and machine learning.  He received the ICCV Helmholtz Prize in 2017.  He was a Program Chair for CVPR 2020 and a General Chair for CVPR 2023.  At RBC Borealis his team builds AI-based products for financial services.  These include the award-winning NOMI Forecast and numerous other industry-leading machine learning solutions.

This event is hosted by Latimer Futures Summit. The event is at capacity and registration is now closed.

Welcome to the Latimer Futures Summit at MIT! Join us for a day filled with inspiring talks, interactive workshops, and networking opportunities with industry experts. Don't miss this chance to gain valuable insights into the future of technology, innovation, and entrepreneurship. Get ready to be inspired and connect with like-minded individuals shaping the future.