Onsite In Montreal Qc - Software Engineer (Core Java, Market Risk)
United Software Group Inc
Location:
Montreal, QC, Canada (100% onsite, no remote or hybrid)Type:
Contract, 12/01/2026 to 11/30/2027Interview:
May require an in-person interviewAbout the Role
You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power agentic and analytical workflows, and mentor junior developers while working with global teams in an Agile environment. Deep Market Risk knowledge isn’t needed up front. You’ll pick it up by working closely with the Risk and Analytics teams.What You’ll Do
Design, build, and support key components of the Market Risk platform in Core JavaBuild scalable, high-performance computing solutions for market risk calculations and analysisUse AI tools to support agentic and analytical workflows, keeping quality, accuracy, and correctness highWork with cross-functional and global teams to deliver quality solutionsProvide technical leadership and mentorship to junior developers in the squadHelp evolve risk management tools, frameworks, and processes as business and regulatory needs changeRequired Qualifications
5+ years building large-scale, production-grade systems, with real depth in Java backend development and distributed system designStrong Core Java expertise and a track record of production-grade backend systemsSolid grounding in data structures, algorithms, and software design patternsStrong working knowledge of Linux/Unix environments and scriptingExperience with relational and/or document-oriented databasesAbility to turn business and analytical requirements into efficient technical solutionsAbility to guide junior staff, influence technical direction, and juggle multiple initiativesBachelor’s degree in Computer Science, IT, or a related field (or equivalent experience)Preferred Qualifications
Agentic AI development experience, with tools like GitHub Copilot and Claude CodePython and Unix in productionCloud experience on Azure, AWS, or GCPBig data exposure: Apache Spark, SnowflakeInfrastructure as code: Terraform, CloudFormationContainerized deployments and cloud-native architectureAgile and DevOps best practicesBackground in financial services, especially Market Risk or FinTech
#J-18808-Ljbffr
Montreal, QC, Canada (100% onsite, no remote or hybrid)Type:
Contract, 12/01/2026 to 11/30/2027Interview:
May require an in-person interviewAbout the Role
You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power agentic and analytical workflows, and mentor junior developers while working with global teams in an Agile environment. Deep Market Risk knowledge isn’t needed up front. You’ll pick it up by working closely with the Risk and Analytics teams.What You’ll Do
Design, build, and support key components of the Market Risk platform in Core JavaBuild scalable, high-performance computing solutions for market risk calculations and analysisUse AI tools to support agentic and analytical workflows, keeping quality, accuracy, and correctness highWork with cross-functional and global teams to deliver quality solutionsProvide technical leadership and mentorship to junior developers in the squadHelp evolve risk management tools, frameworks, and processes as business and regulatory needs changeRequired Qualifications
5+ years building large-scale, production-grade systems, with real depth in Java backend development and distributed system designStrong Core Java expertise and a track record of production-grade backend systemsSolid grounding in data structures, algorithms, and software design patternsStrong working knowledge of Linux/Unix environments and scriptingExperience with relational and/or document-oriented databasesAbility to turn business and analytical requirements into efficient technical solutionsAbility to guide junior staff, influence technical direction, and juggle multiple initiativesBachelor’s degree in Computer Science, IT, or a related field (or equivalent experience)Preferred Qualifications
Agentic AI development experience, with tools like GitHub Copilot and Claude CodePython and Unix in productionCloud experience on Azure, AWS, or GCPBig data exposure: Apache Spark, SnowflakeInfrastructure as code: Terraform, CloudFormationContainerized deployments and cloud-native architectureAgile and DevOps best practicesBackground in financial services, especially Market Risk or FinTech
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Vacancy posted 1 hour ago
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