Lead Software Engineer

Lead Software Engineer (Toronto)

Requisition

Business Unit:
Fitch Group

Category:
Information Technology

Location:

Toronto, ON, CA

Date Posted:
May 19, 2026

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics.

With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology Risk, and the Executive Program Management Office (EPMO). Driven by our investment in cutting‑edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients.

We are also proud to be recognized by Built In as a "Best Place to Work in Technology" for 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.

• Build cross‑platform web‑based add‑ins that run inside Microsoft Office applications.
• Design and develop secure, performant data delivery tools integrated with multiple backend systems.
• Design and develop applications that enable internal and external client self‑service analytical content creation.
• Implement BDD practices and frameworks to enhance test automation and acceptance criteria using cutting‑edge AI techniques.
• Integrate code and test case execution and reporting within the CI/CD pipeline to align with the Dev Ops strategy, criteria, requirements, and user stories.
• Work with cross‑functional teams including business analysts, developers, and users to build and expose data and analytics services.

• Strong knowledge of the Excel development ecosystem: COM Add‑ins, Excel formulas, custom functions, named functions, and VBA.
• Demonstrated ability to parse, validate, and generate Excel formula syntax programmatically.
• Extensive experience designing and consuming REST APIs and microservices architectures.
• Extensive experience with asynchronous pipeline architectures in Java.
• Hands‑on experience with AI/ML frameworks (Lang Chain, Llama Index, Auto Gen, or similar) and understanding of Agentic AI workflows.
• Proven track record of fine‑tuning models with structured, code‑based training data (formulas, function calls, structured outputs).
• Experience processing Excel files and VBA code as training inputs for machine learning models.
• Strong data engineering skills: dataset construction, data cleaning, normalization, and quality assurance.
• Experience working with structured financial data and understanding of financial instruments (bonds, derivatives, etc.) is highly desirable.
• Proficiency in automated testing frameworks (Playwright, Selenium, Jest, or similar).
• Solid understanding of BDD/TDD methodologies and acceptance test‑driven development.

• Knowledge of financial modeling and quantitative analysis.
• Familiarity with Python for data science and ML model development.
• Experience with CI/CD pipelines and Dev Ops practices.
• Experience configuring Git Hub workflows for CI and CD.
• Exposure to code quality metrics and shift‑left principles.
• Experience validating AI‑generated outputs against business logic and AI guardrails.
• Exposure to the financial industry domain and data platforms.

• Hybrid Work Environment: 2 days a week in office required.
• A Culture of Learning &…