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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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Montreal's Top Employers 2025 by Canada’s Top 100 Employers!
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.
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