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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
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.