Take your ideas and research anywhere you want to go, working with researchers from top academic groups in Machine Learning, Computer Vision, and Natural Language Processing. Drive the state-of-the-art while publishing your work in top-tier academic conferences and journals.
Work with massive datasets from decades of real market data. Datasets that can fuel state-of-the-art research in NLP, time-series analysis, graph mining, deep learning, and reinforcement learning.
Develop resources that will be used by millions of people around the world. Apply research findings and solve important business and data problems for one of the world’s largest banks and Canada’s biggest company.
We are thrilled to announce that Prof. Richard Sutton, a leading pioneer in AI, is joining RBC Research as Head Academic Advisor. Prof. Sutton is widely recognized for his work in reinforcement learning (RL), a field best known for the widely-publicized event in 2016 when DeepMind’s AlphaGo machine beat the human world-champion in the game of Go.
Reinforcement learning was recently named as the number one prediction for Artificial Intelligence in 2017 by the MIT Technology Review. The power of RL lies with the fact that it enables predictions without historical data. It is also particularly suited for time-series predictions which is central to financial analytics and forecasting.
Working for a bank doesn’t mean you have to number-crunch in a cubicle. Forget about the “9-5” mentality, timesheets, and Gordon Gekko three-piece suits. RBC Research offers a stimulating work environment and the platform to do world-class machine learning. If contemplating how machines can autonomously build knowledge from observation is what you do in your spare time, then you are one of us. We move quickly, we challenge each other, and we are here to invent the future of banking. We do research.
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