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
