Position Overview
- Minimum 5 years hands on experience in model building methodologies, implementation and compliance.
- Retail Risk Analytics, Credit Risk Modelling & IFRS9
- Expert knowledge of credit scoring techniques, Reporting management & Meeting Deadlines
- Deep understanding of banking products and credit management concepts and methodologies
- Ability to construct and maintain complex data structures for comprehensive risk management
- Degree in Quantitative / Statistics / Actuarial Science / Mathematics (Finance exposure would be a plus);
- Strong analytical, numerical, research and problem-solving skills
- Advanced statistical software skills (e.g. SAS EG)
- Proficient in MS Office, Experience in SQL
- Experience in open source scripting such as Python/R
- Experience in working with big data such as Hadoop
- Ability to present technical concepts for business understanding
- Team player, self-starter, innovative an...