FAQs
What are the primary skills required for the Business Analyst position?
The primary skills required include good SQL knowledge, experience with analytical functions, and the ability to define data models, staging areas, ETL, and transformation implementation.
Is knowledge of credit risk models necessary for this role?
Yes, knowledge of credit risk models, including IFRS9 specifications, is essential for developing and analyzing relevant business requirements.
What types of tools will the Business Analyst be required to use?
The Business Analyst will be required to use data analysis tools for insights, as well as design tools for creating wireframes and mock screens for user interface development.
Will the Business Analyst be involved in user testing?
Yes, the Business Analyst will perform UAT (User Acceptance Testing) and post-production testing as part of their responsibilities.
What is expected in the Business Requirements Documents?
The Business Requirements Documents should detail the credit IFRS9 specifications, including data and systems requirements related to credit risk models.
Are analytical dashboards and data visualization part of the job responsibilities?
Yes, the role includes defining requirements and analysis for creating analytical dashboards and data visualizations.
Will the Business Analyst collaborate with technology partners?
Yes, the Business Analyst will liaise with technology partners to design data models, staging areas, ETL, and transformation implementation.
Is experience with time-series data important for this role?
Yes, defining rules and requirements for developing a time-series and panel view of data to build statistical models for credit risk is an important aspect of the role.
What type of analysis will the Business Analyst provide regarding impairment treatment?
The Business Analyst will provide analysis to support the development of policies aimed at allocating exposures to the correct impairment treatment.
How crucial is extensive data analysis in this position?
Extensive data analysis is crucial for gaining insights into data, which aids in the design of data models and informs other business processes.