Qred is looking for a Senior Data Scientist to lead the design, development, and deployment of IFRS 9 / Expected Credit Loss (ECL) and other key financial models.
Requirements
- 5+ years of experience in quantitative data science or risk modelling within financial services, fintech, or a high-growth tech setting.
- Deep hands-on knowledge of IFRS 9 and ECL model development (PD, LGD, EAD).
- Practical experience with fair value and behaviour models.
- Expert in Python (pandas, NumPy, scikit-learn, Statsmodels) and SQL.
- Proficient with ML techniques (e.g., Logistic Regression, Random Forests, Survival Analysis).
- Familiar with relevant tools and cloud environments (Git, AWS stack).
- Degree in a quantitative field (Statistics, Economics, Finance, Computer Science, Physics, or related).
- Strong communicator, able to explain complex models and financial impact to non-technical teams.
- Pragmatic, structured, and outcome-focused, you can navigate ambiguity and deliver value.
- Ownership mindset, you take initiative and follow through.