• 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.

[HO] - Risk Modeling Specialist

Job Description