détails d'emploi
Our client, a leading financial institution within the Corporate Support division, is seeking two experienced Risk Analysts (Expert level) to join their Wholesale Credit Risk team on a 12-month contract. This role focuses on the development, monitoring, and enhancement of advanced predictive credit risk models that support Small Business, Commercial Banking, and Capital Markets portfolios.
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The successful candidates will work in a dynamic, data-driven environment, leveraging machine learning, artificial intelligence, and statistical modeling techniques to drive risk insights, reduce portfolio losses, and support strategic decision-making. This is a hybrid role based in Toronto, requiring 3–4 days onsite.
Advantages
•Opportunity to work with a top-tier financial institution in a high-impact risk function
•Exposure to cutting-edge technologies including machine learning, AI, and big data platforms
•Collaborative environment with cross-functional stakeholders across business and risk teams
•Potential for contract extension based on performance and business needs
•Hybrid work model offering flexibility
Responsibilities
•Develop, implement, and monitor predictive credit risk models across commercial and wholesale portfolios
•Work with large and complex datasets: extract, clean, validate, and analyze data from multiple sources
•Perform feature engineering and support automation of credit modeling processes
•Design and deploy machine learning and statistical models for credit scoring, surveillance, and risk assessment
•Partner with stakeholders across adjudication and business lines to ensure models are aligned with business needs
•Conduct data assessments, identify gaps, and support data procurement for modeling initiatives
•Prepare comprehensive model documentation, code repositories, and reporting materials
•Address and resolve findings from model validation, internal audit, and ongoing monitoring processes
•Contribute to continuous improvement of modeling frameworks and risk analytics capabilities
Qualifications
Must-Have:
•Undergraduate degree in Computer Science, Finance, Mathematics, Statistics, Economics, or a related field
•Minimum 5 years of experience in credit risk modeling or related quantitative roles
•Strong programming skills in Python for model development and automation
•Hands-on experience with large datasets, including data ingestion, transformation, and aggregation
•Proficiency in SQL and big data/cloud technologies such as Hadoop, PySpark, and S3
•Solid understanding of advanced statistical methods and machine learning techniques (classification and regression)
•Experience with credit risk modeling and time series analysis
•Familiarity with version control tools such as GitHub
•Working knowledge of UNIX command line environments
Nice-to-Have:
•Master’s degree in a relevant field
•Experience with IFRS9, stress testing, or capital modeling frameworks
•Knowledge of GenAI applications in lending or risk analytics
•Experience with additional programming languages such as R, Java, or SAS
Soft Skills:
•Strong analytical and problem-solving abilities
•Ability to adapt to changing priorities in a fast-paced environment
•Effective communication and stakeholder management skills
•Team-oriented with strong collaboration and influencing capabilities
•Results-driven with a high level of accountability
Summary
This is an excellent opportunity for seasoned Risk Analysts to contribute to sophisticated credit risk modeling initiatives within a leading financial institution. The role offers meaningful exposure to advanced analytics, enterprise-level data environments, and cross-functional collaboration, making it ideal for professionals looking to deepen their expertise in credit risk and predictive modeling.
If you are a highly analytical professional with a passion for data, risk, and innovation, 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.
This posting is for existing and upcoming vacancies.
voir plus
Our client, a leading financial institution within the Corporate Support division, is seeking two experienced Risk Analysts (Expert level) to join their Wholesale Credit Risk team on a 12-month contract. This role focuses on the development, monitoring, and enhancement of advanced predictive credit risk models that support Small Business, Commercial Banking, and Capital Markets portfolios.
The successful candidates will work in a dynamic, data-driven environment, leveraging machine learning, artificial intelligence, and statistical modeling techniques to drive risk insights, reduce portfolio losses, and support strategic decision-making. This is a hybrid role based in Toronto, requiring 3–4 days onsite.
Advantages
•Opportunity to work with a top-tier financial institution in a high-impact risk function
•Exposure to cutting-edge technologies including machine learning, AI, and big data platforms
•Collaborative environment with cross-functional stakeholders across business and risk teams
•Potential for contract extension based on performance and business needs
•Hybrid work model offering flexibility
Responsibilities
...
•Develop, implement, and monitor predictive credit risk models across commercial and wholesale portfolios
•Work with large and complex datasets: extract, clean, validate, and analyze data from multiple sources
•Perform feature engineering and support automation of credit modeling processes
•Design and deploy machine learning and statistical models for credit scoring, surveillance, and risk assessment
•Partner with stakeholders across adjudication and business lines to ensure models are aligned with business needs
•Conduct data assessments, identify gaps, and support data procurement for modeling initiatives
•Prepare comprehensive model documentation, code repositories, and reporting materials
•Address and resolve findings from model validation, internal audit, and ongoing monitoring processes
•Contribute to continuous improvement of modeling frameworks and risk analytics capabilities
Qualifications
Must-Have:
•Undergraduate degree in Computer Science, Finance, Mathematics, Statistics, Economics, or a related field
•Minimum 5 years of experience in credit risk modeling or related quantitative roles
•Strong programming skills in Python for model development and automation
•Hands-on experience with large datasets, including data ingestion, transformation, and aggregation
•Proficiency in SQL and big data/cloud technologies such as Hadoop, PySpark, and S3
•Solid understanding of advanced statistical methods and machine learning techniques (classification and regression)
•Experience with credit risk modeling and time series analysis
•Familiarity with version control tools such as GitHub
•Working knowledge of UNIX command line environments
Nice-to-Have:
•Master’s degree in a relevant field
•Experience with IFRS9, stress testing, or capital modeling frameworks
•Knowledge of GenAI applications in lending or risk analytics
•Experience with additional programming languages such as R, Java, or SAS
Soft Skills:
•Strong analytical and problem-solving abilities
•Ability to adapt to changing priorities in a fast-paced environment
•Effective communication and stakeholder management skills
•Team-oriented with strong collaboration and influencing capabilities
•Results-driven with a high level of accountability
Summary
This is an excellent opportunity for seasoned Risk Analysts to contribute to sophisticated credit risk modeling initiatives within a leading financial institution. The role offers meaningful exposure to advanced analytics, enterprise-level data environments, and cross-functional collaboration, making it ideal for professionals looking to deepen their expertise in credit risk and predictive modeling.
If you are a highly analytical professional with a passion for data, risk, and innovation, 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.
This posting is for existing and upcoming vacancies.
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