[HO] RISK MODELLING SPECIALIST

• Design and build the concepts and logic for the model to assess various types of risks as required.
• Optimize the bank's existing data systems.
• Document the systems, concepts, and rules for model building.
• Perform quality checks, validation, maintenance, and updates of data models to meet the bank's changing needs.

• Qualifications: Bachelor's degree or higher in Data Science, Computer Science, Management Information Systems, or related fields.
• In-depth knowledge: Strong understanding of data structures, algorithms, and model design thinking.
• Skills: Thorough understanding of data normalization processes and data modeling for data warehouses.-
• Experience: 3-5 years of practical experience in data projects, including experience in building/managing databases.
• Technical skills and tools :

+ Proficient in technical tools for querying and processing complex data such as SQL, SAS, Python

+ Proficient in modeling tools (Case tools) such as SQL Developer Data Modeler or similar, or data visualization tools (Tableau, Power BI)

+ Other data knowledge such as metadata management and data quality rules

• Analytical and logical thinking: able to translate complex business requirements into technical models