What’s in it for you as an employee of QFG?
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Health & wellbeing resources and programs
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Paid vacation, personal, and sick days for work-life balance
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Competitive compensation and benefits packages
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Work-life balance in a hybrid environment with at least 3 days in office
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Career growth and development opportunities
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Opportunities to contribute to community causes
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Work with diverse team members in an inclusive and collaborative environment
This job posting is for an existing vacancy.
We’re looking for our next Sr. Manager, Advanced Credit Risk Modelling. Could It Be You?
This role will be responsible for building and guiding the day-to-day activities of our ECL frameworks using modern ML tools. You will ensure the execution of the risk modelling roadmap for IFRS 9 to a scalable modern tech stack. This role is ideal for an innovative ML/Data Science leader who has a deep understanding of credit risk regulations to satisfy Model Risk Management (MRM) standards and regulatory expectations.
Need more details? Keep reading…
In this role, responsibilities include but are not limited to:
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Act as the principal hands-on developer to conceptualize, design, and build next-generation ECL, PD, LGD, EAD, and SICR models for secured and unsecured portfolios using modern ML algorithms (e.g., XGBoost, LightGBM).
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Take direct technical ownership of transitioning legacy modeling frameworks into a fully automated, scalable, and modern tech stack.
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Drive the validation process for novel ML risk models by independently implementing explainable AI (XAI) frameworks (e.g., SHAP, LIME) to satisfy rigorous Model Risk Management (MRM) and regulatory transparency requirements.
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Collaborate with MLOps and IT to establish CI/CD pipelines, automated model monitoring, drift detection, and reproducible model training frameworks.
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Contribute to building, mentoring, and growing a multidisciplinary team of quantitative analysts, ML engineers, and data scientists.
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Independently own and execute the technical delivery roadmaps for strategic credit risk and ML modernization initiatives.
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Serve as the primary technical expert, partnering closely with Credit Risk, Finance, and Regulatory teams to ensure seamless integration into IFRS 9 provisioning, capital planning, and risk appetite frameworks.
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Represent the team in working groups and cross-functional modernization initiatives.
So are YOU our next Sr. Manager, Advanced Credit Risk Modelling? You are if you have…
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Master's degree or PhD in Computer Science, Artificial Intelligence, Statistics, Mathematics, Quantitative Finance, or a related field.
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A minimum of 7 years of experience in Machine Learning, Artificial Intelligence, or Advanced Analytics.
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A minimum of 7 years of experience in credit risk modelling within banking or finance.
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Deep, hands-on expertise in IFRS 9, and IRB frameworks (PD, LGD, EAD, SICR calibration) across secured and unsecured lending.
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Strong knowledge of modern ML algorithms (XGBoost, Random Forests, LightGBM) applied to credit risk.
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Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
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Experience with cloud platforms (AWS, Azure, GCP), data science cloud-based tools (e.g., Databricks), MLOps practices, and production deployment.
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Proven ability to successfully defend novel ML models to internal validation groups (MRM) and external regulators.
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Proficiency in Agile and SAFe methodologies and related tools (Jira, Confluence).
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Team management or leadership experience.
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Excellent communication and stakeholder management skills, with the ability to translate complex machine learning concepts into actionable business insights.
Compensation Information:
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Base salary range: $140,000 - $180,000
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The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.
Sounds like you? Click below to apply!
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