About the Role:

Financial 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 team-oriented, 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.

Grade Level (for internal use):

11

The Team

Financial 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 For

Basic (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 plat

📌 Software Engineer – Full-Stack (Toronto)
🏢 S&P Global
📍 Toronto