Senior Quant Systems Engineer - Python & AI
iA Financial Group (Industrial Alliance)
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Benefits offered by this job
Job summary
iA Global Asset Management (iAGAM) seeks a results-driven quant software engineer to join the Front Office Co-Development effort. You will partner with Quant teams to translate research into production-ready solutions and to build reusable, scalable components.
The role emphasizes cloud-native architectures, data pipelines, AI-assisted workflows, and platform engineering standards. You’ll contribute to tooling, orchestration, observability, and validation to raise analytics quality and speed
Qualifications
- 5+ years of relevant experience in software engineering, analytics, or investment technology.
- Strong Python software engineering skills and production-grade development practices.
- Experience with data pipelines, ETL/ELT, and data quality.
- Familiarity with cloud-native environments, Git, and CI/CD.
- Able to translate research into scalable production systems.
Responsibilities
- Co-design and co-develop quantitative solutions for investment workflows.
- Translate research workflows into production-ready implementations.
- Collaborate with data engineering to ensure reliable data pipelines.
- Define reusable patterns and contribute to engineering standards.
- Improve deployment, monitoring, and operational runbooks.
Skills
Education
Tools
Job description
iA Global Asset Management (iAGAM) seeks a results-driven quant software engineer to join the Front Office Co-Development effort. You will partner with Quant teams to translate research into production-ready solutions and to build reusable, scalable components.
The role emphasizes cloud-native architectures, data pipelines, AI-assisted workflows, and platform engineering standards. You’ll contribute to tooling, orchestration, observability, and validation to raise analytics quality and speed
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