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About the Role
This role is responsible for building and guiding the day-to-day activities of ECL frameworks using modern ML tools, ensuring the execution of the risk modelling roadmap for IFRS 9 to a scalable modern tech stack. It is ideal for an innovative ML/Data Science leader with a deep understanding of credit risk regulations to satisfy Model Risk Management (MRM) standards and regulatory expectations.
Responsibilities
- 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).
- Take direct technical ownership of transitioning legacy modeling frameworks into a fully automated, scalable, and modern tech stack.
- 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.
- Collaborate with MLOps and IT to establish CI/CD pipelines, automated model monitoring, drift detection, and reproducible model training frameworks.
- Contribute to building, mentoring, and growing a multidisciplinary team of quantitative analysts, ML engineers, and data scientists.
- Independently own and execute the technical delivery roadmaps for strategic credit risk and ML modernization initiatives.
- 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.
- Represent the team in working groups and cross-functional modernization initiatives.
Requirements
- Master's degree or PhD in Computer Science, Artificial Intelligence, Statistics, Mathematics, Quantitative Finance, or a related field.
- A minimum of 7 years of experience in Machine Learning, Artificial Intelligence, or Advanced Analytics.
- A minimum of 7 years of experience in credit risk modelling within banking or finance.
- Deep, hands-on expertise in IFRS 9, and IRB frameworks (PD, LGD, EAD, SICR calibration) across secured and unsecured lending.
- Strong knowledge of modern ML algorithms (XGBoost, Random Forests, LightGBM) applied to credit risk.
- Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
- Experience with cloud platforms (AWS, Azure, GCP), data science cloud-based tools (e.g., Databricks), MLOps practices, and production deployment.
- Proven ability to successfully defend novel ML models to internal validation groups (MRM) and external regulators.
- Proficiency in Agile and SAFe methodologies and related tools (Jira, Confluence).
- Team management or leadership experience.
- Excellent communication and stakeholder management skills, with the ability to translate complex machine learning concepts into actionable business insights.
Skills
- Machine Learning
- Artificial Intelligence
- Advanced Analytics
- Credit Risk Modelling
- IFRS 9
- IRB frameworks
- XGBoost
- Random Forests
- LightGBM
- Python
- SQL
- PySpark
- Git
- GitLab
- VS Code
- AWS
- Azure
- GCP
- Databricks
- MLOps
- Agile
- SAFe
- Jira
- Confluence
- Explainable AI (XAI)
- SHAP
- LIME
Location
- Canada
Work Type
- Hybrid
Experience Level
- Senior Manager
- 7 years of experience in Machine Learning, Artificial Intelligence, or Advanced Analytics
- 7 years of experience in credit risk modelling
Education Level
- Master's degree or PhD in Computer Science, Artificial Intelligence, Statistics, Mathematics, Quantitative Finance, or a related field.
Salary/Compensations
- $140,000 - $180,000
Benefits
- Health & wellbeing resources and programs
- Paid vacation, personal, and sick days
- Competitive compensation and benefits packages
- Competitive incentive (bonus) program
About the Company
- Questrade Financial Group (QFG) provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more through its companies: Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti.
- We use cutting-edge technology to help Canadians become much more financially successful and secure.
- At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services.
- The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.
- Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits.
- Questrade Financial Group of Companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.
- Candidates selected for an interview will be contacted directly.
- If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.
Equal Opportunity
- At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. Our team reflects the diversity of the communities we serve and operate in. Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.