Data Science Strategist

6 days ago


Toronto, Ontario, Canada Royal Bank of Canada Full time
About the Role

We are seeking a highly skilled Data Science Strategist to join our team at Royal Bank of Canada. In this role, you will be responsible for leveraging advanced data science techniques to drive strategic decision-making.

Key Responsibilities
  • Develop and implement predictive models using machine learning techniques to forecast market trends and asset performance
  • Design, develop, and deploy machine learning models for various applications across GAM
  • Collaborate closely with stakeholders to understand their technical requirements and translate them into actionable data initiatives
Requirements

To be successful in this role, you will need:

  • Proficiency in quantitative analysis, statistical models, and optimization techniques, experience in portfolio construction and optimization techniques preferred
  • Strong programming skills in languages such as Python, SQL, and familiarity with data science libraries (e.g., TensorFlow, scikit-learn)
  • Demonstrated expertise in machine learning, including supervised and unsupervised learning, deep learning, reinforcement learning, and Large Language models
Benefits

We offer a comprehensive compensation package that includes:

  • A salary range of $120,000 - $180,000 per annum, based on location and experience
  • A comprehensive Total Rewards Program including bonuses and flexible benefits
  • Leaders who support your development through coaching and managing opportunities
About Us

Royal Bank of Canada is committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We strive to provide an accessible candidate experience for our prospective employees with different abilities.



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