JOB DESCRIPTION Location: Hybrid | Downtown, Toronto
Duration: 6 Months
Our client, a leading financial institution in Downtown Toronto, is looking for a Data Analyst - Python, Credit Risk Modeling to support end-user data processing and calculations through Python-based scripting and automation. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.
Typical Day in role: Design and develop data solutions to integrate new data sources into existing stress testing platforms and support new stress testing initiatives.
Develop and enhance Python-based processes to source, transform, validate, and consolidate data from multiple upstream systems.
Analyze existing codebases and implement changes based on evolving stress testing methodologies and business requirements.
Optimize the performance of large-scale, data-intensive Python notebooks and workflows.
Refactor code to improve readability, maintainability, scalability, and efficiency while preserving business logic.
Ensure outputs are accurate, reliable, and well-documented for downstream analytics, reporting, and modeling purposes.
Collaborate with internal stakeholders, model developers, and risk partners to gather requirements and validate results.
Create technical documentation and provide knowledge transfer to support long-term sustainability of solutions.
Support end-user data processing and calculations through Python-based scripting and automation.
Gain exposure to IFRS 9 methodologies, stress testing frameworks, and credit risk forecasting processes.
Must Have Skills: 3+ years’ experience as a Data Analyst,



with hands-on experience working with large datasets and complex code processes (co-op, internship, or professional experience will be considered).
Strong proficiency in Python, with hands-on experience optimizing data-heavy workloads
Experience applying software development best practices, including writing clean, maintainable, scalable, and testable code
Academic or professional experience in credit risk modelling, particularly related to Probability of Default (PD) and/or Loss Given Default (LGD)
Nice-To-Have Skills: Strong SQL skills and experience working with relational or cloud data warehouses
Experience moving notebook-based workflows toward more production-ready designs
Soft Skills Required: Ability to work independently in a contract environment and deliver against defined objectives
Strong analytical and problem-solving skills.
Ability to learn recent concepts quickly and adapt to evolving project requirements.
Genuine interest in credit risk, stress testing, and quantitative analytics.
Education: Bachelors + Masters required
CFA/FRM certifications are an asset
FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $40/hr -$50/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

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📌 Data Analyst – Python, Credit Risk Modeling (Ontario)
🏢 Finance Professionals
📍 Ontario