Assistant Manager (Risk and Regulatory)

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 and highly motivated