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Senior Analyst, Quantitative Data Science
iA Financial Group (Industrial Alliance)Senior analyst building scalable investment data products for iA Global Asset Management. Developing cloud analytics, Power BI, dbt pipelines, and AI-ready datasets for investment teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining analytical data products, building scalable ETL/ELT pipelines, and ensuring data quality and governance. Proficient in translating financial requirements into data solutions while collaborating with investment teams and stakeholders.
Highest-signal resume keywords
Python DevelopmentETL/ELT Pipeline DevelopmentData EngineeringPower BI SolutionsGoogle Cloud Platform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingAnalytical Data ProductsTransformation LogicData Quality ControlsInvestment AnalyticsDbt FrameworkBigQueryPrefectDagsterAirflow
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
Power BIStreamlitGitHubDockerCI/CD
Industry Keywords
Investment WorkflowsFinancial DatasetsAnalytics EngineeringData GovernanceOperational Runbooks
Tech Stack
Tools & technologiesAirflowBigQueryCloudDockerETLGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Partner with Portfolio Management, Asset Allocation, Trading, Performance, Risk, Research, and other investment teams
- Develop and maintain analytical data products supporting investment workflows
- Translate financial and analytical requirements into scalable data solutions
- Manage performance, attribution, time-series, holdings, positions, exposures, and aggregated analytics datasets
- Ensure investment datasets are accurate, validated, timely, and well-governed
- Own analytical product lifecycles from data ingestion and transformation through delivery and continuous evolution
- Define requirements, priorities, operating expectations, and success measures with stakeholders
- Design scalable data models and transformation pipelines
- Develop Power BI and Streamlit analytical experiences
- Build and maintain ETL/ELT pipelines for investment processes and recurring analytical workflows
- Implement data quality controls, reconciliation, monitoring, and operational runbooks
- Contribute reusable dbt models, standards, templates, documentation, lineage, and semantic-layer components
- Support cloud-native platform modernization and AI-enabled analytical workflows
- Diagnose issues across data dependencies, transformation logic, orchestration, and reporting layers
Requirements
What you’ll need- Strong Python development skills
- Strong understanding of data engineering, analytics engineering, data modeling, and best practices
- Experience building scalable ETL/ELT pipelines and analytical data models using dbt or comparable frameworks
- Experience with transformation logic, testing, documentation, lineage, and reusable modeling practices
- Experience with Google Cloud Platform and BigQuery
- Experience with Prefect, Dagster, or Airflow
- Familiarity with GitHub, code reviews, CI/CD concepts, Docker, and modern software development practices
- Experience building Power BI solutions, semantic models, and analytical applications
- Understanding of data quality, validation, reconciliation, monitoring, and governance
- Solid understanding of investment and financial analytics concepts
- Ability to understand investment workflows and translate business and financial requirements into scalable solutions
- Experience working with financial datasets or investment analytics is highly desirable
- 5+ years of relevant experience for intermediate candidates; 8+ years for senior candidates
- Experience at the intersection of finance, analytics, data engineering, and technology
- Experience building data products, analytical solutions, modern reporting capabilities, or production-grade data pipelines
- Demonstrated ability to deliver and support production-grade data and analytics solutions
- Advanced proficiency in French; daily communication with English- and French-speaking clients and partners across Canada via email and phone calls
- Undergraduate or master’s degree in a relevant field preferred, not required
Benefits
Comp & perks- Hybrid work environment with flexibility and access to inspiring and innovative workspaces
- Flexible group insurance
- Competitive pension plan
- Stock purchase plan
- Vacation days
- Wellness/personal development days
- Telemedicine
- Employee and family assistance program
- Ergonomic furniture program
- Performance bonus
- Discounts on iA products
- Learning and development environment
- Healthy, safe, fair, and inclusive work environment