Posted:
5/20/2026, 9:19:11 AM
Location(s):
Toronto, Ontario, Canada ⋅ Ontario, Canada
Experience Level(s):
Mid Level
Field(s):
AI & Machine Learning ⋅ Data & Analytics
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
WHAT DO YOU NEED TO SUCCEED?
Must have:
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.
Nice-to-have:
What’s in it for you?
It provides the opportunity to be a part of a high performing experienced team with progressive thinking to deliver trusted advice to help our clients thrive and communities prosper.
Job Skills
Actuarial Modeling, Big Data, Big Data Management, Commercial Acumen, Data Explorations, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Text MiningAdditional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Website: https://rbc.com/
Headquarter Location: Toronto, Ontario, Canada
Employee Count: 10001+
Year Founded: 1864
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Banking ⋅ Financial Services ⋅ Wealth Management