Credit Risk Data Analyst - Python & Stress Testing

Finance Professionals Inc.; Toronto; Hybrid; CAD 55,000 - 69,000; Full time

Job summary

FP Inc. is seeking a Data Analyst - Python, Credit Risk Modeling in Downtown Toronto for a 6‑month hybrid contract. The role focuses on end-user data processing, Python automation, and support for IFRS 9 methodologies within a top Canadian bank.

You will design data solutions, optimize Python workloads, and collaborate with risk partners to ensure accurate outputs for analytics and modeling.

Qualifications

• 3+ years’ experience as a Data Analyst handling large datasets and complex code processes.
• Strong proficiency in Python and optimizing data-heavy workloads.
• Experience applying software development best practices: clean, maintainable, scalable, and testable code.
• Academic or professional experience in credit risk modelling, PD and/or LGD.

Responsibilities

• Design and develop data solutions to integrate new data sources into stress testing platforms.
• Develop Python-based processes to source, transform, validate, and consolidate data from upstream systems.
• Analyze existing codebases and implement changes for evolving stress testing methodologies.
• Optimize performance of large-scale Python notebooks and workflows.
• Refactor code to improve readability, maintainability, scalability, and efficiency.

Skills

Data analysis

Python

Code quality

Credit risk modelling

Education

Bachelor's and Master's degrees

CFA/FRM asset

Tools

SQL

Cloud data warehouses

Job description

FP Inc. is seeking a Data Analyst - Python, Credit Risk Modeling in Downtown Toronto for a 6‑month hybrid contract. The role focuses on end-user data processing, Python automation, and support for IFRS 9 methodologies within a top Canadian bank.

You will design data solutions, optimize Python workloads, and collaborate with risk partners to ensure accurate outputs for analytics and modeling.