Specialist, Scoring and Modeling Quantum Management Services Ltd. Specialist, Scoring and Modeling

Permanent - 3 days onsite Specialist, Scoring & Modeling Reporting directly to the Director of Scoring & Modeling. In this role, you will take ownership of model development initiatives and play a key role in preparing data, building statistical models, supporting model implementation, and overseeing ongoing model performance. Lead end-to-end model development projects—primarily credit risk scorecards—using techniques such as decision trees, logistic regression, and various machine learning methods.

Extract, transform, and analyze raw datasets (primarily using SAS) to deliver timely, high-quality insights for scoring and modeling projects. Create and maintain detailed model documentation that aligns with regulatory expectations. Support the operational deployment of models by coordinating with cross‑functional teams to ensure accurate and timely implementation.

Build, maintain, and review monitoring and validation reports, offering insight into model performance for different business applications. credit bureaus and modeling consultants) to ensure data and analytical requirements are fulfilled. Stay current with emerging statistical approaches, machine learning techniques,



and industry best practices. Provide technical expertise, guidance, and data‑driven recommendations to leadership from a predictive modeling perspective.

Communicate key findings and insights effectively to both technical and non‑technical audiences, using visualizations and clear storytelling. At least 4 years of hands‑on experience in analytics and predictive modeling within financial services, preferably in credit risk. Bachelor’s or Master’s degree in a quantitative field such as Statistics, Economics, Mathematics, Engineering, or Actuarial Science.

Solid understanding of credit risk model development, validation, and monitoring practices. Solid foundation in statistical and machine learning methods (e.g., regression, gradient boosting, neural networks, clustering) and the ability to choose the right technique for the problem. Proven experience working with data using SAS, SQL, or Python.

Experience with large datasets, data mining, and data warehouse environments. Knowledge of Canadian raw credit bureau data is a significant asset.

Advanced

Excel skills (e.g., pivot tables, index‑match) and familiarity with Access or similar database tools.

📌 Excel Model Specialist (Toronto)
🏢 Quantum Management Services
📍 Toronto