WINTER 2022 CO-OP: Research Scientist (AI), Enterprise Model Risk Mgmt – 4 or 8 Months

  • Location: Toronto, Ontario
  • Deadline: October 28, 2021

Research Scientist (AI), Enterprise Model Risk Mgmt – 4 or 8 Months (Winter 2022 Student)

Toronto/Bedford, Ontario, Canada

What is the opportunity?

This is a student opportunity for students who are looking to secure either a 4 or 8 month work term.

RBC is a global leader in applying Artificial Intelligence (AI)  in various aspects of banking in order to create value for our clients; from advice center chatbots and intelligent mobile app features in personal banking to AI-powered algorithmic trading agents in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to unwarranted potential financial, regulatory, and reputational risks.

The Enterprise Model Risk Management (EMRM)- AI model validation team within the RBC Group Risk Management is mandated with quantification and management of the potential model risk arising from deploying AI powered technologies across the bank.

The Research Scientist (AI Model Validation) Student will be working closely with the senior AI-scientists and risk managers to further develop the bank’s model risk framework for testing and monitoring of Machine Learning models. The role will provide a unique opportunity to get exposure to cutting edge techniques employed by a leading financial institution in validation and testing of AI models.

What will you do?

  • Research and implement novel machine learning & statistical models/approaches across multiple industries working with cross-functional business teams
  • Establish scalable, efficient, automated processes for large scale data analysis, model development and validation

What do you need to succeed?

Must Have:

  • Progress towards a PhD or M.Sc. degree in Statistics, Applied Mathematics, Econometrics, Computer Science, Electrical Engineering,  Physics, Quantitative Finance,
  • Proficient programming skills in Python/R and SQL
  • Familiarity with popular ML frameworks and libraries (Scikit Learn SciPy, Pytorch, Keras, Tensorflow)
  • Comfortable with command line tools in a Linux or Windows environment e.g. Linux (bash, Powershell, ssh, etc)

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Opportunities to do challenging work and make a difference
  • Opportunities to building close relationships

Head Office HO2021 – Siège social

We encourage you to apply as soon as possible as we accept applications on a rolling basis. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

While there is no one date when our employees will return, we can confirm that the majority of the Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.


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