Title: Risk Analyst

Location: Toronto, ON

Duration: 12 Months

Role: We are seeking an experienced Credit Risk Model Developer to build, monitor, and deploy predictive models supporting Small Business, Commercial Banking, and Capital Markets within Credit Risk.

Key Responsibilities
Develop and monitor credit risk, ML/AI, credit scoring, and surveillance models.
Source, clean, validate, and engineer features from large datasets.
Build and deploy models using Python, SQL, PySpark, Hadoop, and S3.
Apply advanced statistical, classification, regression, and time-series techniques.
Support data assessment, feature-farm automation, and model implementation.
Collaborate with business stakeholders and credit experts throughout the model lifecycle.
Prepare model documentation, code, presentations, and monitoring reports.
Address issues from Model Validation, Internal Audit, and monitoring.

Must-Have




5+ years in credit risk modelling.
Robust Python & SQL with large-scale data experience.
Hands-on PySpark/ Hadoop/ S3 and UNIX.
Advanced ML/statistical modelling expertise.
Credit risk models & time-series analysis.
GitHub/version control experience.

Nice to Have: Master’s degree | GenAI in lending | R/Java/SAS | IFRS9 | Stress Testing | Capital Measurement.

“We use AI in our Hiring Process”

Mindlance is an equal prospect employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work setting in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

📌 Credit Risk Analyst Toronto
🏢 Mindlance
📍 Toronto