Lead Data Scientist, Fraud Applied Ai & Innovation

Retirement World

Toronto, Canada
Machine learning model development
Python, r, sql programming
Big data framework knowledge
You will lead Fraud Management Machine Learning and AI advancements while managing and mentoring a team of senior data scientists to develop predictive fraud detection models

Job Summary

  • You will lead Fraud Management Machine Learning and AI advancements while managing and mentoring a team of senior data scientists to develop predictive fraud detection models.
  • The role offers the opportunity to build and lead a high-performing team, make a lasting impact, and take on progressively greater accountabilities within a supportive leadership environment.
  • RBC values an inclusive workplace focused on respect, belonging, and opportunity, supporting employee development and collaboration to deliver trusted advice to clients and communities.

Matching Summary

You will lead Fraud Management Machine Learning and AI advancements while managing and mentoring a team of senior data scientists to develop predictive fraud detection models.

Skills & Requirements

Must-have

  • Machine Learning model development
  • Python, R, SQL programming
  • Big Data Framework knowledge
  • Version control with Git/GitHub
  • Fraud detection analytics
  • Team leadership and mentoring

Nice-to-have

  • Cloud technologies experience
  • Docker and Kubernetes familiarity
  • Graduate degree in quantitative discipline
  • Experience building high-performing teams
  • Prior fraud detection experience

Key Requirements

  • 5+ years Machine Learning experience
  • 1-3 years people management experience
  • Bachelor's degree in quantitative discipline
  • Knowledge of Canadian banking and payments
  • Strong communication and presentation skills

Work Rights

Not specified

Tailored Resume

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