Responsibilities
Develop, implement, and maintain the regulatory default risk capital model under the FRTB framework.

Apply working knowledge of risk measurement (e.g., market risk) and valuation methodology to capital markets and banking products within the firm's risk systems.

Utilize strong analytical and programming skills in Python and PySpark for large-scale data processing, validation, and complex data modeling.

Construct and execute complex SQL queries to extract and analyze information from large relational datasets.

Perform validation and rigorous troubleshooting of quantitative models and data modeling issues.

Ensure rigorous adherence to internal governance controls and excellent documentation practices required for regulatory submission.

Function as a proven business analyst and problem-solver, identifying, analyzing, and rectifying project issues proactively.

Translate ambiguous inputs and user requirements into clear, defined project deliverables, effectively conveying complex conceptual information to both technical and business stakeholders.

Qualifications
Demonstrated experience or knowledge in regulatory default risk capital model development under the FRTB framework (This is a hard requirement).

Solid programming skills in Python (developing coding proficiency is essential).

Working knowledge of SQL (ability to construct and execute complex queries).

Experience or capability in adapting Python skills to PySpark for processing large-scale data.

Good understanding of risk management, capital adequacy, and reference data handling.

Well-developed PC skills, particularly with spreadsheets and database tools (e.g., Access).

Proven business analysis and problem-solving track record.

Summary
This is a rare opportunity to join a Tier 1 financial institution's Regulatory Risk team. We are searching for a highly specialized Quantitative Analyst/Model Developer to focus on the critical, complex challenge of FRTB Default Risk Capital (DRC) model development. The role requires a unique blend of regulatory expertise, market risk knowledge, and advanced big data engineering skills (Python/PySpark). If you thrive where regulatory requirements intersect with petabyte-scale data, this is your next career move.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.