Base: $69,000.00 - $129,000.00; bonus/equity: not ...
Data architecture design and maintenance
Analytics system enablement
Dashboard and reporting infrastructure
The Data Engineer is responsible for designing, owning, and evolving the data and analytics infrastructure that underpins the CIO Office’s portfolio analytics, ALM, trade quantification, and risk dashboards
Job Summary
The Data Engineer is responsible for designing, owning, and evolving the data and analytics infrastructure that underpins the CIO Office’s portfolio analytics, ALM, trade quantification, and risk dashboards.
Partner with Portfolio Analytics analysts to ensure systems are fit for purpose, flexible, and front office usable.
BMO is committed to an inclusive, equitable and accessible workplace.
Matching Summary
The Data Engineer is responsible for designing, owning, and evolving the data and analytics infrastructure that underpins the CIO Office’s portfolio analytics, ALM, trade quantification, and risk dashboards.
Salary
Base: $69,000.00 - $129,000.00; Bonus/Equity: Not specified; Benefits: Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans
Skills & Requirements
Must-have
Data architecture design and maintenance
Analytics system enablement
Dashboard and reporting infrastructure
Data governance, quality, and controls
External data integration management
Nice-to-have
Front office investment decision support
Scalable system and data solutions
Real-time analytics support
Reproducible and defensible analytical outputs
Front office agility
Key Requirements
Bachelor’s degree in Computer Science, Engineering, Finance, or a related quantitative field
3+ years of experience in data engineering, analytics systems, or front office technology
Strong programming and data engineering skills (e.g., Python, SQL)
Experience designing data models and pipelines for analytics and reporting
Familiarity with market data, portfolio systems, and risk platforms
Experience supporting dashboard and visualization tools
Understanding of data governance, controls, and auditability in a regulated environment