Manager, Analytics & Process Innovation

Role overview

Key responsibilities

• Automate manual Capital Markets processes using SQL, Python, and other appropriate technologies.
• Apply quantitative analytics and machine-learning techniques to integrate and interpret data and support portfolio analysis and strategy optimization.
• Build and maintain reusable BI solutions, dashboards, and visualizations using Power BI, Tableau, or equivalent tools.
• Improve reporting, data controls, and reconciliations; investigate data differences, root causes, and business impacts and coordinate resolution.
• Set appropriate data rules, transformations, validation approaches, and programmatic solutions for complex or imperfect data.
• Evaluate emerging AI technologies, including Generative AI, LLMs, RAG, and AI agents, for process and analytics improvements.
• Develop maintainable code and technical solutions, document findings, and communicate recommendations to stakeholders.

Required qualifications

• 4+ years of relevant experience in quantitative or business analytics, data analysis, software development, data integration, data engineering, or a related field.
• Hands-on Python and SQL automation experience, including data transformation, ETL/data integration, and work across multiple systems.
• Practical experience applying quantitative, mathematical, statistical, or machine-learning methods to financial, risk, or business problems.
• Knowledge of analytical methods, model assumptions and limitations, data structures, business logic, integration, and data quality.
• Ability to translate business requirements into practical technical solutions and clearly communicate analytical results.
• Practical knowledge of Capital Markets and financial services, such as credit risk, securitization, or investments.
• Power BI, Tableau, or equivalent BI experience is an asset; familiarity with Generative AI, LLMs, RAG, or AI agents is an asset.

Technical knowledge

• Relevant techniques include logistic regression, decision trees, and XGBoost.
• The role uses Python, SQL, ETL, data integration, and analytical applications across multiple systems.

Compensation

• The posted salary range is CAD 85,000–95,000; no pay cadence is specified.