Senior Credit Risk Analyst, Quantitative

We are seeking a Senior Credit Risk Analyst with a quantitative background to join a collaborative team on a one-year contract. In this role, you'll be instrumental in developing, implementing, and enhancing credit risk models for an established financial institution. You’ll apply your analytical expertise to a variety of projects, helping to build robust models and ensuring compliance with key policies. This position is perfect for a sharp, driven individual who thrives in a fast-paced environment and wants to make a tangible impact.AdvantagesThis is a fantastic opportunity to dive deep into the world of risk modeling and gain invaluable exposure to different types of models and risk processes. You’ll be working with a small, close-knit team, which means your contributions will be highly visible and directly impact the business. This is a one-year contract, offering a clear, focused term to expand your skills and build a powerful portfolio of work. You will also have the flexibility of a hybrid work schedule.Responsibilities-Implement and enhance complex credit risk stress testing and forecasting models.-Conduct in-depth analytics and reporting, including scenario, sensitivity, and attribution analysis.-Build and maintain the analytics platforms that support your work.-Clearly and effectively communicate model methodologies and maintain meticulous documentation.-Ensure all models and processes adhere to the organization's Model Risk Policy and relevant Data Governance requirements.-Contribute to the enhancement of existing models and develop new credit risk models for emerging business lines as needed.QualificationsMust-Haves:-A Master's degree or higher in a quantitative discipline such as Statistics, Mathematics, Financial Engineering, or Economics.-Proven coding experience with SAS.-A strong foundation in credit risk models or stress testing models and processes.-Excellent communication skills, both written and verbal.-Strong conceptual, analytical, and problem-solving abilities.Nice-to-Haves:-Proficiency in other programming languages such as Python, MATLAB, or C++.-Prior experience developing credit risk or stress testing models for a bank's lending portfolios.SummaryThis is a high-impact, one-year contract position for a sharp Senior Credit Risk Analyst. We're looking for someone with a quantitative academic background and relevant experience who is ready to jump in and contribute to a dynamic team. If you’re a problem-solver who excels at both model development and clear communication, this role offers a unique chance to broaden your expertise and gain significant exposure to diverse risk areas. If this sounds like the perfect next step in your career, we encourage you to apply.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.