About the Role:Grade Level (for internal use):
11
The TeamFinancial Risk Analytics (FRA), part of S&P Global Market Intelligence, delivers information-centric capital markets and risk solutions for trading desks and their risk management partners — spanning counterparty credit risk, xVA, market risk, and regulatory compliance. Our products are trusted by buy-side and sell-side institutions worldwide, and we are actively investing in our technology and data platforms to build new revenue-generating solutions powered by open-source, big data, cloud, and emerging AI capabilities. You will join a collaborative, globally distributed engineering team that values technical rigour, pragmatic decision-making, and delivering measurable impact — working a hybrid schedule of 2 days per week from our Toronto office, with flexibility for the remainder of the week.
Responsibilities and Impact- Architect and own full-stack product features end-to-end — from design and implementation through automated testing and production support — maintaining accountability for quality, security, and performance at every stage.
- Build scalable, performant UIs using React and TypeScript, and deliver backend services and REST APIs in Node.js and Java, contributing to a platform that powers financial risk decisions for institutions worldwide.
- Design, develop, and optimise PostgreSQL schemas and SQL solutions to support complex, data-intensive financial requirements.
- Lead technical design reviews and architectural decisions, translating intricate financial-risk business requirements into well-structured, maintainable engineering plans — collaborating with product managers and risk specialists across functions.
- Drive engineering excellence by establishing and evolving practices in testing, code review, CI/CD, observability, and secure development; mentor engineers and shape platform-wide standards.
- Apply emerging technologies, including agentic AI and AI-enabled tooling, to improve engineering productivity through code generation, automated testing, documentation, and workflow automation.
What We're Looking ForBasic (Required) Qualifications- 7+ years of professional software engineering experience.
- Production experience building and maintaining applications using React, TypeScript, and modern JavaScript (ES6+).
- Production experience with Node.js/Express or Java, with a demonstrated track record of delivering across multiple technology stacks.
- Production experience developing and consuming REST APIs.
- Demonstrated SQL proficiency and production experience with relational databases, including PostgreSQL.
- Production experience with automated testing frameworks such as Jest, Jasmine, or Playwright.
- Demonstrated experience with CI/CD pipelines, Git-based workflows, and Linux/Unix environments.
- Production experience working within Agile software development environments.
- Demonstrated track record of making and communicating sound technical decisions to both engineering and business stakeholders.
Additional Preferred Qualifications
- Professional experience with Java and Spring/Spring Boot, including cross-stack integration between JavaScript/TypeScript and Java services.
- Production experience with distributed systems, event-driven architectures, or data-intensive backend services.
- Domain experience in financial markets, trading, risk management, or regulatory technology; working knowledge of counterparty credit risk, xVA, or market risk.
- Experience with UI libraries such as Highcharts, DevExtreme, TanStack, or Tailwind; working knowledge of HTML5, web accessibility standards, and frontend performance optimisation.
- Hands-on experience with containerisation technologies such as Docker, CI/CD tools such as GitHub Actions, and AWS services such as CloudFront, S3, and Okta; production experience with container orchestration platforms such as Kubernetes.
- Demonstrated implementation of application security controls including authentication, authorisation, and data protection.
- Practical experience with generative AI, large language models (LLMs), AI-assisted development tools, or agentic frameworks.
Ontario Transparency NoticeIn accordance with Ontario's new regulations effective January 1, 2026, this job posting provides information on expected compensation. S&P Global may use automated tools or artificial intelligence to support certain aspects of the hiring process, where permitted by law. Additionally, we are committed to transparency and will inform all interviewed candidates of hiring decisions within 45 days of their interview. This posting is for an existing vacancy, and we encourage you to reach out for further information regarding our hiring practices or any questions you may have. Thank you for considering a career with us
Compensation / Benefits InformationS&P Global states that the anticipated base salary range of compensation for this position is $102,375 CAD to $152,375 CAD. Final base salary compensation for this role will be based on the individual's performance, geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan, which is included in the range of compensation above. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please .
