Specialist, Scoring and Modeling

3 days ago

Toronto, Ontario, Canada Quantum Management Services Ltd. Full time US$84,300 - US$141,600 per year

Position:
Specialist, Scoring and Modeling
Location:
Downtown Toronto or London, ON
Job Type:
Permanent - 3 days onsite

We are seeking a
Specialist, Scoring & Modeling
to join our client in the Financial Services space. 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.

What you'll be doing:
- 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.

  • Act as the main point of contact with external partners (e.g., 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.

What you'll need:
- 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

  • Strong 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

Please send your resume in Word format to Bronwyn Massey at

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