Senior Quant Analyst - Counterparty Risk

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A prominent Canadian bank located in Toronto is seeking a Sr. Quantitative Analyst to support counterparty credit risk management. The role involves risk modeling, project facilitation, and stakeholder management. Candidates should possess a strong quantitative background, programming experience in Python, and a graduate degree in a related field. The bank fosters a hybrid work environment, allowing flexibility in work location, while emphasizing a commitment to inclusion and diversity.

Qualifications

• Experience in defining and developing risk models to support decision making.
• Well trained in quantitative techniques and capable of enhancing research.
• Experience with developing and testing models and ability to code.

Responsibilities

• Analyze critical issues with risk measures and provide quantitative solutions.
• Participate in projects ensuring deliverables are met within Quantitative Risk.
• Communicate effectively with stakeholders to manage model risk.

Skills

Analytical Thinking

Collaboration

Communication

Python (Programming Language)

Risk Models

Education

Graduate degree in a quantitative field

Tools

Python

Job description

A prominent Canadian bank located in Toronto is seeking a Sr. Quantitative Analyst to support counterparty credit risk management. The role involves risk modeling, project facilitation, and stakeholder management. Candidates should possess a strong quantitative background, programming experience in Python, and a graduate degree in a related field. The bank fosters a hybrid work environment, allowing flexibility in work location, while emphasizing a commitment to inclusion and diversity.