Archived listing. The details below describe a past opening.
TekStaff's Client has a current vacancy for a Data Analyst
Job Description
This role offers valuable exposure to:
- Credit risk analytics and loss forecasting within a leading financial institution.
- Enterprise stress testing methodologies and regulatory reporting practices.
- IFRS 9 modelling and credit loss estimation processes.
- Large-scale data management, automation, and Python development.
- Collaboration with quantitative model developers, risk professionals, and business stakeholders.
- A strategic project with potential for extension beyond the initial contract period.
Candidate Requirements/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
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
