Partner with Front Office teams including Quantitative Equity, Trading, Risk, and Asset Allocation to co-design and co-develop quantitative solutionsTranslate research, investment, and analytical workflows into production-ready implementationsAct as a technical counterpart bridging quantitative intent and platform constraintsSupport the full lifecycle of quantitative solutions from design and deployment through ongoing evolutionStandardize and operationalize analytical workflowsCollaborate with data engineering partners on reliable, validated, and orchestrated data pipelinesIdentify opportunities for AI-assisted capabilities, automation, and intelligent workflow supportDefine, implement, and maintain reusable engineering capabilities, solution patterns, and development standardsContribute Python packages, libraries, frameworks, documentation, standards, and best practicesImprove analytics and quantitative computing environments across production and non-production environmentsContribute to migrations, upgrades, and platform standardization initiativesBuild tooling, automations, and platform capabilities supporting quantitative workflowsParticipate in incident triage, root-cause analysis, deployment, monitoring, troubleshooting, and operational supportDesign, build, and support data pipelines connecting source data, transformations, model logic, and downstream reporting or application layersContribute to reusable packages, solution templates, orchestration patterns, deployment and monitoring tools, shared components, migration patterns, AI-enhanced workflows, and reusable data pipeline templatesRequirementsStrong Python software engineering skills and production-grade development practicesExperience designing maintainable, modular,



and reusable software solutionsExperience in data-intensive, analytics-heavy, or quantitative environmentsFamiliarity with cloud-native development environments and shared tooling ecosystemsWorking knowledge of Git-based workflows, code reviews, and CI/CD conceptsExperience building internal tools, libraries, automation capabilities, or shared engineering componentsStrong debugging and problem-solving across research and production contextsAbility to diagnose application logic, orchestration, data dependency, and runtime workplace issuesFamiliarity with modern AI capabilities, AI-assisted development, or applied AI/ML solutionsExperience with ETL/ELT, orchestration, data validation, and data quality patternsUnderstanding of time-series analysis, financial instruments, risk concepts, modeling, backtesting, and performance evaluationAbility to read quantitative logic and translate quantitative requirements into scalable technical solutionsStrong collaboration, communication, ownership, autonomy, and ambiguity-management skillsUndergraduate or master's degree in Computer Science, Engineering, Mathematics, Finance, Financial Engineering, or a related field preferred5+ years of relevant experience for intermediate candidates; 8+ years for senior candidatesExperience at the intersection of software engineering, analytics, quantitative research,



or investment workflowsDemonstrated ability to build and support production-grade technical solutionsExperience in quantitative finance, investment technology, trading, risk, or portfolio management is an assetIntermediate proficiency in French, required for daily communication with French-speaking clients and partners across Canada via email and phoneFamiliarity with orchestration, containerization, automation frameworks, cloud-native architectures, scalable application development, platform engineering, developer enablement, internal tooling, data pipeline orchestration, data quality automation, analytical data products, and production AI integrationCore CompetenciesDemonstrates strong Python software engineering skills and experience in building production-grade solutions within data-intensive and quantitative environments. Proficient in developing maintainable software, collaborating with cross-functional teams, and implementing AI-assisted capabilities and data pipelines.Highest-signal resume keywordsPython Software EngineeringData Pipeline OrchestrationAI-Assisted DevelopmentETL/ELT ProcessesQuantitative Finance ExpertiseATS Optimization KeywordsHard SkillsPythonData ValidationTime-Series AnalysisQuantitative ModelingDebuggingCI/CD ConceptsOrchestrationContainerizationAutomation FrameworksProduction-Grade DevelopmentSoft SkillsCollaborationCommunicationOwnershipProblem-SolvingAmbiguity ManagementIndustry KeywordsQuantitative ResearchInvestment TechnologyRisk ManagementPortfolio ManagementFinancial InstrumentsTools & TechnologiesGitCloud-Native EnvironmentsAnalytical Data ProductsInternal ToolingShared Engineering Components#J-18808-Ljbffr

📌 Senior Analyst, Quant System (Quebec City)
🏢 Jobtailor
📍 Quebec City