Big Data and AI in Finance ft. RBC, ATB Financial, and Scotiabank

AI is utilized by financial institutions in various ways to improve their operations. Its diverse applications affect both the sell side which include investment banking & stockbrokers, as well as the buy side, which include asset managers & hedge funds. In this talk, we’ll dive into how various financial services leverage machine learning, alternative data sets, & other advanced analytics to tackle issues such as credit decisions, risk management, fraud prevention, trading, personalized banking, process automation, & more. We’ll touch on use cases, the impact of big data, & the benefits of that big data & AI can bring to financial services. Zain is working as a Sr. Data Scientist at the Customer Insights, Data & Analytics group at Scotiabank. Zain leverages machine learning & other advanced analytics to enhance Scotiabank’s knowledge about its customers & deliver a better customer experience. He has a PhD in Soft Computing & worked in academia before starting the current role. Dhruv is a data scientist on ATB Financial’s AI R&D team. He studied machine learning for financial engineering at the University of Toronto & has worked with NLP for sentiment analysis on Twitter and developed a model & app for predicting the replaceability of jobs to automation & the gig economy. At ATB, his team attempts to push the boundary of how machine learning can be used in the financial industry. Fouad has over 12 years of experience in data science & educational outreach. He currently works as a Data Scientist at RBC, developing ML models that predict risk & provide business insights. Previously, he worked as a data scientist at The Ontario Institute for Cancer Research, where he was part of many computational developments that aimed to improve cancer prognosis.