Senior Quant Engineer | Python & AI Pipelines

Jobtailor; Quebec; On-site; CAD 110,000 - 150,000; Full time

Job summary

Jobtailor in Canada is seeking an experienced Quantitative Software Engineer to design and implement production-grade quantitative solutions with Python. You will partner with Front Office teams, translate research into deployable code, and help standardize data pipelines and analytics environments.

Strong emphasis on CI/CD, cloud-native stacks, and AI-assisted workflows. The role requires 5+ years for intermediate candidates or 8+ years for senior candidates, with fluency in French for daily

Qualifications

• Strong Python software engineering skills and production-grade development practices.
• Experience designing maintainable, modular, and reusable software solutions.
• Experience in data-intensive, analytics-heavy, or quantitative environments.
• Familiarity with cloud-native development environments and shared tooling ecosystems.
• Working knowledge of Git-based workflows, code reviews, and CI/CD concepts.
• Experience building internal tools, libraries, automation capabilities, or shared engineering components.
• Strong debugging and problem-solving across research and production contexts.
• Ability to read quantitative logic and translate quantitative requirements into scalable technical solutions.
• Intermediate proficiency in French, required for daily communication with French-speaking clients and partners across Canada via email and phone.

Responsibilities

• Partner with Front Office teams including Quantitative Equity, Trading, Risk, and Asset Allocation to co-design and co-develop quantitative solutions
• Translate research, investment, and analytical workflows into production-ready implementations
• Act as a technical counterpart bridging quantitative intent and platform constraints
• Support the full lifecycle of quantitative solutions from design and deployment through ongoing evolution
• Standardize and operationalize analytical workflows
• Collaborate with data engineering partners on reliable, validated, and orchestrated data pipelines
• Identify opportunities for AI-assisted capabilities, automation, and intelligent workflow support
• Define, implement, and maintain reusable engineering capabilities, solution patterns, and development standards
• Contribute Python packages, libraries, frameworks, documentation, standards, and best practices
• Improve analytics and quantitative computing environments across production and non-production environments
• Contribute to migrations, upgrades, and platform standardization initiatives
• Build tooling, automations, and platform capabilities supporting quantitative workflows
• Participate in incident triage, root-cause analysis, deployment, monitoring, troubleshooting, and operational support
• Design, build, and support data pipelines connecting source data, transformations, model logic, and downstream reporting or application layers
• Contribute to reusable packages, solution templates, orchestration patterns, deployment and monitoring tools, shared components, migration patterns, AI-enhanced workflows, and reusable data pipeline templates

Skills

Python

Data pipelines

CI/CD

Orchestration

AI-assisted development

Problem-solving

Education

Bachelor's or Master's in Computer Science, Engineering, Mathematics, Finance, Financial Engineering, or related field

Tools

Git

Containerization

Cloud-Native Environments

Automation Frameworks

Job description

Jobtailor in Canada is seeking an experienced Quantitative Software Engineer to design and implement production-grade quantitative solutions with Python. You will partner with Front Office teams, translate research into deployable code, and help standardize data pipelines and analytics environments.

Strong emphasis on CI/CD, cloud-native stacks, and AI-assisted workflows. The role requires 5+ years for intermediate candidates or 8+ years for senior candidates, with fluency in French for daily