enterprise architecture frameworks and business process modeling. Strong understanding of network architecture Systems analysis and design UML or equivalent modelling language Technical Test Plan Design IT systems understanding of: Bank's systems environment Bank business model Best practices for Quality Assurance (QA) Object
understanding of database technologies, data modelling, and optimisation techniques. The successful candidate systems to meet the organisation's needs Develop data models and optimise database performance Ensure data integrity database management systems Experience with data modelling, performance tuning, and optimisation Strong problem-solving
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise
role in designing, developing, and implementing AI models and algorithms to solve complex business challenges Responsibilities: Create, build, and deploy AI models and algorithms to meet business requirements. Employ techniques. Prepare and sustain documentation for AI models, processes, and tools. Offer technical expertise
capabilities (CDN, cloud storage), application modeling, and UML. Additional Knowledge (Plus): Database Database management systems (SQL, no-SQL, ERDs, DB Modeling, transactions, object-relational-mapping). Understanding in operating system software. Business process modeling and design. Knowledge of Lean and Agile methodology
(Informatics) - Essential
business objectives.
Qualifications and Experi
data analysis, machine learning, and predictive modelling.
data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and implement process Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
requirements, and through a structured process, modelling, validating, and translating it into business using alternative views such as flows, diagrams, models, and use cases when applicable. Business Process
and Optimisation. Database Management Create Data Models in a Structured data format to enable analysis components of the data tables, data queries and data models. Identify valuable data sources and automate collection