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About the Role
Lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. Collaborate with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data.
Responsibilities
- Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacy
- Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code
- Lead complex data science projects from inception to completion
- Quickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and models
- Collaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions
- Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes
- Mentor and guide junior data scientists
Requirements
- Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering) with a strong theoretical foundation
- Proven expertise in developing and deploying complex machine learning models, including deep learning architectures, for solving challenging problems
- Highly proficient programming skills (Python, PySpark) and a deep understanding of statistical modeling, data mining techniques, and big data technologies
- Demonstrated ability to translate complex technical concepts into actionable insights and communicate effectively with both technical and non-technical stakeholders
- Passion for innovation and curiosity to explore emerging technologies and methodologies
- Previous experience in cybersecurity/fraud domains
- Experience with MLOps to build end-to-end pipeline and deploying models in production
- Experience with graph analytics
- Experience with cloud platforms (AWS, Azure, GCP)
Skills
- Actuarial Modeling
- Big Data Management
- Commercial Acumen
- Data Mining
- Data Science
- Decision Making
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Predictive Analytics
- Python (Programming Language)
Location
- Toronto, Canada
Work Type
- Full time
Education Level
- Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering)
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- 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
- Flexible work/life balance options
- Opportunities to do challenging work
- Opportunities to take on progressively greater accountabilities
- Access to a variety of job opportunities across business
About the Company
- At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC.
- We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.
- Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
- RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
Equal Opportunity
- We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.
- Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.
- RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.