Finance AI and Data Science Lead
Royal Bank of Canada View all jobs
- Toronto, ON
- Permanent
- Full-time
- • Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management
- • Drive strategic planning for AI/GenAI initiatives aligned with Finance transformation objectives
- • Manage multiple concurrent projects, ensuring delivery timelines, quality standards, and resource optimization
- • Lead the design, development and optimization of AI-powered solutions, including Finance Assist chatbot, ensuring scalability and enterprise-grade performance
- • Establish best practices for model development, testing, validation, and deployment across the team
- • Review and approve technical designs, code reviews, and model performance metrics
- • Execute the AI-driven automation strategy for Finance
- • Partner with business leaders to identify high-impact use cases and prioritize AI investments
- • Present findings and recommendations to senior leadership and executive committees
- Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field • PhD preferred but not required
- 5+ years of hands-on experience in data science, machine learning, or AI development
- 2+ years of experience leading technical teams and managing data science projects
- Proven track record of delivering enterprise-scale AI/ML solutions
- Expert proficiency in Python, R, and SQL
- Deep understanding of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience with GenAI/LLM technologies and implementation
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices
- Experience with big data technologies – Hadoop (Pig, Hive), SQL databases, parallel processing techniques, and Apache Spark
- • PhD in a relevant field
- • Finance domain expertise or CFA/FRM certifications
- • Previous experience in banking or financial services industry
- • Experience with regulatory compliance in AI (model risk management, ethical AI)
- Opportunities to do challenging work utilizing latest technologies
- Opportunities to see measurable results in relatively short term
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with counterparts across the bank