Data Scientist - Dubai
Responsibilities:
- Ensure the accuracy and reliability of the bank’s risk models (IFRS9, credit risk, regulatory models) through review, validation, performance assessment, and identifying weaknesses.
- Collaborate with model development teams and stakeholders to ensure models meet regulatory and business requirements.
- Document, test, and report on models, staying updated with best practices in model validation and risk management.
- Apply advanced statistical and predictive modeling techniques to validate the bank’s models.
- Understand the bank’s data and assess models with a focus on data quality and constraints.
- Validate risk-sensitive models pre- and post-implementation across various disciplines (credit, market, compliance, etc.).
- Develop a comprehensive model validation process using industry best practices and regulatory guidance.
- Liaise with internal and external teams to understand model design and provide input throughout the development lifecycle.
- Ensure adherence to regulatory requirements for model validation as per CBUAE standards.
- Produce detailed and structured model validation reports.
- Create challenger models with different methodologies when necessary.
- Defend validation findings to the model oversight committee and highlight business impacts.
- Ensure remediation plans are logical and track their closure.
Requirements
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Operations Research, or a related field.
- At least 8 years of experience in Data Analytics and modeling within a reputable financial institution, with a preference for risk modeling.
- Proficient in statistical programming languages such as SAS, Python, and R, with a strong preference for SAS.
- Extensive experience in model validation and development, particularly with risk models like IFRS , stress tests, and ICAAP, within a reputable financial institution.
- Additional degrees or certifications in data science or analytics are highly desirable.
