We are seeking a Java Engineer in the Firm Market Risk Technology team, you will design, build, and optimize high-performance Java systems powering the Firm Market Risk Platform. In this role, you will lead squad-level technical expertise while developing solutions to measure, simulate, and monitor market risk and capital metrics across global portfolios. Working alongside Risk Managers, Analytics teams, senior leadership, and regulatory stakeholders, you will continuously evolve risk frameworks, analytics engines, and reporting tools to meet complex, fast-changing business and regulatory demands.
Location: Montreal (day 1 onboarding / onsite presence required 3x/week)
What you'll do in the role:
- Hands-on in core Java development with responsibilities for design, implementation and support of key components of the Market Risk platform.
- Implement scalable and high-performance computing solutions for computing market risk & providing analysis capabilities.
- Leverage Ai tools to support agentic and analytical workflows, while maintaining rigorous standards for solution quality, accuracy, and correctness.
- Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
- Work in an Agile development environment, ensuring timely and efficient product delivery.
- Provide technical leadership and mentorship to junior developers in the squad.
What you'll bring to the role:
- Strong expertise in Core Java development, with a proven track record of building production-grade backend systems.
- Experience designing and building large-scale, distributed systems.
- Solid understanding of data structures, algorithms, and software design patterns.
- Strong working knowledge of Linux/Unix environments and scripting.
- Experience with relational and/or document-oriented databases.
- Ability to translate business and analytical requirements into efficient technical solutions; deep Market Risk domain expertise is not required upfront and can be developed on the job through close partnership with Risk and Analytics teams.
- Ability to guide junior staff, influence technical direction, and manage multiple initiatives in parallel.
- Typically 5+ years of relevant experience building large-scale, production-grade systems, with demonstrated depth in Java-based backend development and distributed system design.
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
Soft Skills & Responsibilities
- Strong problem-solving and analytical thinking.
- Self-starter with the ability to take initiative and drive projects independently
- Ability to align technology with business goals and regulatory needs.
- Excellent communication skills, both verbal and written
Preferred Qualifications:
- Experience using Agentic Ai development and tools (Github copilot, Claude Code).
- Experience using Python/Unix in production environments.
- Experience with cloud platforms (e.g., Azure, AWS, or GCP).
- Exposure to big data technologies such as Apache Spark, Snowflake.
- Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
- Knowledge of containerized deployments and cloud-native architecture.
- Familiarity with Agile software development and DevOps best practices.
- Background in financial services, especially within Market Risk or FinTech.