Job Description
WHAT IS THE OPPORTUNITY?The Alternative Data and AI team is looking to create differentiated content and insights for Capital Markets clients leveraging Alternative data (Structed and unstructured non financial data) and applying advanced AI techniques to create financially relevant factors and insights.WHAT WILL YOU DO?Design and develop AI ML models for deriving insights from Alternative data – structured and unstructured
Build front to back AI/ML models with MLOps integration and active learning on the cloud
Conduct exploratory data analysis, Feature Engineering, Model selection , Hyper Parameter tuning etc.
Building geospatial intelligence across Energy & Mining sector
Work directly with sector and product bankers across investment banking to quantify client and sector business thesis's
3+ years of banking or financial industry experience
3+ years of AI and Big Data Analytics Experience
Experience working with alternative data and standard financial data
Experience with Cloud, Distributed computing and Data Science
Highly Proficient in statistical functions and distributions
Highly Proficient in AI/ML algorithms and techniques like
Expertise in time series modeling (ARIMA, Prophet etc.)
Expertise in statistical functions, distance functions and distribution analysis (E.g. Dynamic Time Warping, Earth Movers Distribution etc. )
Experience with techniques like transfer learning, K shot and no shot learning
Hands on experience with Generative-AI and Agentic/MCP frameworks
Experience with Linear Programming, Quadratic Programming etc.
Excellent communication and presentation skills. Proven ability to connect with internal and external stakeholders
Experience with one or more cloud platforms (Azure, AWS or GCP)
Experience with orchestration frameworks like Airflow or Azure data factory
Experience with distributed notebook environments like Databricks
Experience building AI driven data quality frameworks and other data governance tools and capabilities
Experience building meta data driven AI and statistical models for repeatable insight generation
Experience with Model deployment, Model validation, Model assessment, Model Monitoring etc.
Address:
ROYAL BANK PLAZA, 200 BAY ST:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
CAPITAL MARKETSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-05-20Application Deadline:
2026-05-28Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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.Join our Talent Community
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
Data Scientist - Alternative Data and AI • TORONTO, Ontario, Canada
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