Head Of Applied Ai, Digital And Global Investments

Royal Bank of Canada

Toronto, Canada
Base: not specified; bonus/equity: bonuses + commi...
Ai/ml lifecycle expertise
Cloud-based ai stack architecture
Python and modern ml/ai stack
Wealth Management Data & AI is building a high-impact technical team to deliver cutting-edge AI solutions for Digital and Global Investment teams using massive datasets and advanced computational resources

Job Summary

  • Wealth Management Data & AI is building a high-impact technical team to deliver cutting-edge AI solutions for Digital and Global Investment teams using massive datasets and advanced computational resources.
  • The role involves owning the technical vision, leading AI/ML and GenAI solution delivery, mentoring a team of 5-10 AI scientists and ML engineers, and aligning AI initiatives with business strategy.
  • Benefits include leading a talented team at the forefront of AI in wealth management, working with enterprise-scale infrastructure, exposure to senior business leaders, and a comprehensive Total Rewards Program.

Matching Summary

Wealth Management Data & AI is building a high-impact technical team to deliver cutting-edge AI solutions for Digital and Global Investment teams using massive datasets and advanced computational resources.

Salary

Base: Not specified; Bonus/Equity: Bonuses and commissions where applicable; Benefits: Flexible benefits and comprehensive Total Rewards Program

Skills & Requirements

Must-have

  • AI/ML lifecycle expertise
  • Cloud-based AI stack architecture
  • Python and modern ML/AI stack
  • Technical team leadership
  • Generative AI and LLMs
  • Production-ready AI solutions

Nice-to-have

  • Applied research publication
  • Wealth and investment management experience
  • Matrixed global organization experience
  • Coaching and career development
  • Problem solving from first principles
  • Collaborative high-performance culture

Key Requirements

  • Master’s degree in quantitative field
  • 8-10+ years AI/ML/data science experience
  • 3+ years technical team leadership
  • Experience with cloud platforms (AWS, Azure, etc.)
  • Proficiency in Python programming
  • Strong communication skills

Work Rights

Not specified

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