Senior Manager, Advanced Credit Risk Modelling

Résumé du poste

The Senior Manager will lead the development and modernization of ECL and credit risk models using advanced machine learning tools and automated tech stacks. They will also mentor a multidisciplinary team and collaborate with cross-functional stakeholders to ensure regulatory compliance and seamless integration into risk frameworks.

Détails du poste

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. 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. If you share this sense of infinite possibility, come shape your future at QFG. What’s in it for you as an employee of QFG? Health & wellbeing resources and programs Paid vacation, personal, and sick days for work-life balance Competitive compensation and benefits packages Work-life balance in a hybrid environment with at least 3 days in office Career growth and development opportunities Opportunities to contribute to community causes 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: 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. So are YOU our next Sr. Manager, Advanced Credit Risk Modelling? You are if you have… 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. Compensation Information: Base salary range: $140,000 - $180,000 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! #LI-RJ1 #LI-Hybrid 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. 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.

Ce que vous ferez

The Senior Manager will lead the development and modernization of ECL and credit risk models using advanced machine learning tools and automated tech stacks. They will also mentor a multidisciplinary team and collaborate with cross-functional stakeholders to ensure regulatory compliance and seamless integration into risk frameworks.

Exigences

Candidates must hold a Master's degree or PhD in a quantitative field and possess at least 7 years of experience in both machine learning and credit risk modelling. Strong proficiency in Python, SQL, and modern ML algorithms, along with a proven ability to navigate regulatory validation processes, is required.

Avantages

• Health and wellbeing resources • Paid vacation • Personal days • Sick days • Competitive compensation • Benefits packages • Career growth and development opportunities

Compétences indiquées

• SQL · Souhaitée
• Apprentissage automatique · Souhaitée
• Team Leadership · Souhaitée
• Stakeholder Management · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Credit risk modelling
• Machine learning
• IFRS 9
• Python
• SQL
• PySpark
• XGBoost
• LightGBM
• Model risk management
• Explainable AI
• Data science
• Cloud platforms
• MLOps
• Stakeholder management
• Team leadership
• Model Risk Management
• Risk Modeling
• Explainable AI (XAI)
• Credit Risk
• VS Code
• Atlassian Confluence
• Pipelines
• Concept Drift Detection
• Financial Technology (FinTech)
• MLOps (Machine Learning Operations)
• CI/CD
• Curiosity
• Git (Version Control System)
• Advanced Analytics
• Technical Delivery Management
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Applicant Tracking Systems
• JIRA
• Microsoft Azure
• Banking
• Capital Budgeting
• Investments
• Communication
• Computer Science
• Mortgage Loans
• Creativity
• Mathematical Finance
• Programming Tools
• Finance
• Financial Services
• Leadership
• Scalability
• International Financial Reporting Standards

Domaines d’emploi

• Finance & Accounting
• Data & Analytics
• Technology
• Management & Leadership
• Software
• Credit Risk Manager
• Risk Manager
• Management and Organization Analysts
• Financial Risk Specialists