Credit Risk Data Scientist: Scorecards & Segmentation

Canadian Tire; Oakville; On-site; CAD 53,000 - 88,000; Full time

Job summary

A financial solutions provider in Oakville seeks a candidate to support the development of predictive models related to credit and collection risk. The ideal applicant will hold a university degree in a STEM field and possess strong analytical and programming skills, especially in statistical tools like SAS, SQL, and Python. This role offers a competitive salary range and comprehensive benefits, alongside opportunities for career growth and a commitment to diversity and inclusion.

Benefits

Comprehensive benefits

Performance incentives

Continuing Education Programs

Career growth opportunities

Product discounts

Qualifications

• University degree in one of the STEM courses.
• Experience performing statistical analysis, building predictive models.
• Proficient expert in at least one of the key data mining tools.

Responsibilities

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

Skills

Statistical analysis

Predictive modeling

Customer segmentation

SAS

SQL

Python

Analytical skills

Mathematics

Problem-solving

Education

University degree in STEM

Postgraduate degree in mathematics/statistics

Tools

SAS Enterprise Miner

FICO Analytics Workbench

Job description

A financial solutions provider in Oakville seeks a candidate to support the development of predictive models related to credit and collection risk. The ideal applicant will hold a university degree in a STEM field and possess strong analytical and programming skills, especially in statistical tools like SAS, SQL, and Python. This role offers a competitive salary range and comprehensive benefits, alongside opportunities for career growth and a commitment to diversity and inclusion.