Specialist, Scoring and Modeling

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** WE ARE PROUD TO BE RECOGNIZED AS Great Place to Work ® Canada for 2025 andMontreal's Top Employers 2025 by Canada’s Top 100 Employers Learn more: https://www.fairstone.ca/en/about/canadian-lender Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/ 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 #J-18808-Ljbffr