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Credit Risk Data Scientist: Predictive Modeling

Canadian Tire Corporation

Oakville

On-site

CAD 53,000 - 88,000

Full time

Today
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Job summary

A retail leader in Canada is seeking a candidate for a role focusing on predictive modeling and statistical analysis related to credit risk. The position requires a university degree in STEM and experience with data mining tools such as SAS and SQL. The ideal candidate will demonstrate strong analytical skills and the ability to communicate findings effectively. A competitive salary is offered, along with comprehensive benefits, career growth opportunities, and product discounts.

Benefits

Comprehensive benefits
Performance incentives
Career growth opportunities
Product discounts

Qualifications

  • Experience in statistical analysis, predictive models, and credit risk management.
  • Ability to understand and manipulate large data volumes.
  • Proven ability to translate business needs into statistical solutions.

Responsibilities

  • Support the development of predictive models for credit and collection risk.
  • Contribute to scorecard design and development.
  • Monitor statistical models and recommend actions.

Skills

Statistical analysis
Predictive modeling
Data mining tools (e.g., SAS, SQL, Python)
Problem-solving skills
Analytical skills

Education

University degree in STEM
Postgraduate degree in mathematics, statistics or similar disciplines

Tools

SAS
SQL
Python
Job description
A retail leader in Canada is seeking a candidate for a role focusing on predictive modeling and statistical analysis related to credit risk. The position requires a university degree in STEM and experience with data mining tools such as SAS and SQL. The ideal candidate will demonstrate strong analytical skills and the ability to communicate findings effectively. A competitive salary is offered, along with comprehensive benefits, career growth opportunities, and product discounts.
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