Specialist, Scoring and Modeling

Fairstone; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A financial services company in Toronto is seeking a Specialist, Scoring & Modeling for model development initiatives in credit risk analytics. The ideal candidate will have over 4 years of experience, strong skills in SAS, SQL, and statistical techniques. This full-time position offers the opportunity to engage with stakeholders and solve complex data challenges within a supportive work environment.

Qualifications

• Minimum 4 years of hands-on experience in analytics and predictive modeling.
• Demonstrated understanding of credit risk model development and monitoring techniques.
• Strong data science capabilities and experience with large-scale databases.

Responsibilities

• Lead model development projects focused on credit risk scorecards.
• Extract and analyze raw data using SAS for scoring initiatives.
• Develop comprehensive model documentation adhering to regulatory standards.

Skills

Predictive modeling

Data manipulation with SAS

Statistical techniques

Communication skills

Education

Bachelor's or Master's degree in a quantitative discipline

Tools

SAS

SQL

Python

Microsoft Excel

Job description

Be part of our talented and growing team! We are currently looking for a Specialist, Scoring & Modeling, to join our team reporting to the Director, Scoring, Modeling and Originations.

As a Specialist, Scoring & Modeling, you will lead model development initiatives and provide critical support in data preparation, statistical modeling, model implementation, and model monitoring.

WHAT WILL YOU WORK ON?

• Lead model development projects, with focus on credit risk scorecards, using various modeling techniques including Decision Trees, Logistic Regression and Machine Learning algorithms
• Extract, manipulate, and analyze raw data using mainly SAS to deliver timely, value-added insights for scoring initiatives
• Develop and maintain comprehensive model documentation that adheres to regulatory standards
• Support operational model implementation by liaising with related parties to ensure the models are deployed accurately and promptly
• Develop, maintain, and review model monitoring and validation reports and provide insight into model performance with respect to a given business use case
• Take lead in liaising with external partners such as credit bureaus and modeling consultants, to ensure credit bureau data needs and analytic requirements are met
• Keep abreast of new statistical and machine learning techniques and tools, and industry best practices to predictive modeling
• Provide technical guidance, proactive support, and data-driven recommendations to management from predictive modeling perspective
• Effectively communicate and present key findings to both technical and non-technical internal business stakeholders leveraging visualization tools and techniques

WHO ARE WE LOOKING FOR

• Minimum 4 years of hands‑on experience in analytics and predictive modeling within the financial services industry, ideally in a Credit Risk Analytics environment
• Bachelor’s or Master’s degree in a quantitative discipline such as Statistics, Economics, Actuarial Science, Engineering, or Mathematics
• Demonstrated understanding of credit risk model development, validation, and monitoring techniques
• Strong knowledge of statistical techniques and concepts (regression, gradient boosting, neural networks, clustering, etc.) with the skill to determine the appropriateness of a technique for a given business problem
• Strong data science capabilities, with proven experience in manipulating data using SAS, SQL, or Python
• Experience working with large-scale databases, data mining, and data warehousing
• Familiarity with Canadian raw credit bureau data is considered a strong asset
• Advanced skills in Microsoft Excel (e.g., pivot tables, index-match functions) and familiarity with Microsoft Access or other database tools
• Exceptional written and verbal communication skills, with the ability to engage stakeholders across all levels of the organization

**This role is vacant**

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Learn more: https://www.fairstone.ca/en/about/canadian-lender

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If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application.

Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence.

Time Type: Full time Job Type:Permanent