Specialist, Scoring and Modeling

Quantum Management Services Ltd.; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A financial services consultancy based in Toronto seeks a Specialist in Scoring and Modeling to lead model development projects such as credit risk scorecards. The ideal candidate will have at least 4 years in analytics and predictive modeling, with a solid foundation in statistical methods and experience with SAS, SQL, or Python. This permanent position supports model implementation and requires excellent communication skills. Please send your resume to the hiring manager for consideration.

Qualifications

• At least 4 years of hands-on experience in analytics and predictive modeling within financial services.
• Solid understanding of credit risk model development, validation, and monitoring practices.
• Proven experience working with data using SAS, SQL, or Python.

Responsibilities

• Lead end-to-end model development projects primarily credit risk scorecards.
• Extract, transform, and analyze raw datasets to deliver insights.
• Create and maintain detailed model documentation.

Skills

Analytics

Predictive modeling

Machine learning methods

Statistical methods

Data analysis

Communication

SAS

SQL

Python

Excel

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

SAS

SQL

Python

Excel

Access

Job description

Join to apply for the Specialist, Scoring and Modeling role at Quantum Management Services Ltd.

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 [e-mail].