Senior Quantitative Software Developer (34352)

About the Role

We are seeking two highly skilled Quantitative Software Developers to join our team on a contract basis. These consultants will play a critical role in enhancing our stress testing framework, contributing to model validation, development, and optimization initiatives within a leading Canadian financial institution.
This is a hands-on technical role, ideal for senior developers with deep expertise in programming, quantitative finance, and econometrics who can contribute immediately to high-impact projects.

Key Responsibilities

• Develop and enhance functionalities within the firm's stress testing framework.
• Lead and contribute to code optimization efforts to improve efficiency, scalability, and performance.
• Support the validation and development of financial models, ensuring accuracy and compliance with internal and regulatory standards.
• Collaborate with cross-functional teams including model risk, validation, and development teams.
• Provide subject matter expertise on quantitative methodologies and programming best practices.

Qualifications

• 10 years of relevant experience in software development and quantitative finance.
• Must qualify for Government of Canada Security Clearance (Minimum 5 years of living in Canada)
• Proven track record working with large financial institutions in Canada (e.g., six D-SIBs or equivalent).
• Advanced programming skills, with deep expertise in Java and Python (additional languages a plus).
• Strong background in quantitative finance, econometrics, and model development/validation.
• Experience contributing to large-scale risk management or stress testing frameworks.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Contract Details

• Term: 6 months (possibility of extension)
• Location: Remote, Canada-based candidates only
• Start Date: Targeting early October 2025

If you are an experienced Quantitative Developer with a strong background in financial modeling and programming, we encourage you to apply and help drive critical risk management initiatives.

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