Senior Data Scientist - Financial Markets
Listed on 2026-06-18
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IT/Tech
Data Scientist, Data Analyst, Data Engineering, Machine Learning/ ML Engineer
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Take a central role
The Bank of Canada has a vision to be a leading central bank—dynamic, engaged and trusted—committed to a better Canada. No other employer in the country offers you the unique opportunity to work at the very center of Canada’s economy, in an organization with significant impact on the economic and financial well-being of all Canadians. You will be challenged, energized and motivated to excel in our environment.
Building on the principles that have always guided us – excellence, integrity and respect – we strive to be forward-looking and innovative, to welcome people with diverse perspectives and talents, and to earn trust by living up to our commitments and by clearly explaining the intent of our policies and actions.
With our defined-benefit pension plan, benefits, and high flexibility for work life balance - find out more about why we are annually ranked as one of Canada's top employers:
Working Here - Bank of Canada
We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced data science and machine learning solutions within the Financial Markets Data Analytics (FMDA) division of the Markets and Banking Department (MBD).
FMDA works with a broad range of data assets, including data from commercial providers, regulatory agencies, and internally generated operations data. The team automates data pipelines, curates and transforms data, develops and maintains statistical and machine learning models, and provides templates, utilities, and best practices leveraged by other teams for monitoring, analysis, and reporting. FMDA also provides specialized financial modelling expertise in support of the Bank’s fiscal agent responsibilities and domestic market operations.
Solutions are user focused, developed using agile principles, and delivered through close collaboration with financial market specialists and digital and technology partners.
In this role, you will:
- Lead the development, fine-tuning, and deployment of advanced machine learning and analytical models using structured and unstructured financial market data
- Design, build, and maintain scalable, production-grade data science pipelines, from data ingestion and feature engineering to model deployment and monitoring
- Oversee model performance and manage the end-to-end model lifecycle in alignment with internal model risk management standards
- Provide expert guidance on data science methodologies, tools, and best practices, and collaborate with domain experts to drive adoption across the department
- Mentor and support data scientists and analysts, contributing to capability building and knowledge…
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