Technical Data Developer at Nedbank

Job Purpose

• Ensure consistency and automation of credit risk analytics operations, data and processes
• Drive business optimisation through engagement to create integration, automation, process efficiency including digitisation
• Operationalisation of business requirements specifications for credit systems
• Ensure quality and availability of credit data (risk and return), aligned to EDP principles
• Effective RDARR remediation of in scope reports, including the enforcement credit data standards and policies
• Ensure that all items raised in credit regulatory environment are planned, specified and implemented

Job Responsibilities

• Assist in the technical provision of large, complex data sets for credit analytics
• Drive the improvements in efficiency of credit risk capital processes
• Provision of credit data quality analytics
• Documentation of business requirements and user acceptance testing, including prototyping

Minimum Experience Level

• 6 + years’ experience in credit risk analytics, data analytics
• Knowledge of the credit Banks Act Returns, credit risk capital, credit risk systems, data and processes

Essential Qualifications - NQF Level

• Minimum required Qualification: Bachelor’s degree in Mathematics / Financial Mathematics / Statistics or similar with relevant experience
• Power BI, SAS programming or similar (Python / R / Matlab/SQL) knowledge

Type of Exposure

• Built and maintained stakeholder relationships
• Developed and Implemented Communications Strategy
• Improved Processes and Culture
• Managed Transformation & Innovation
• Managed Relationships
• Researcher
• Managed Self

Technical / Professional Knowledge

• Administrative procedures and systems
• Business principles
• Business terms and definitions
• Business writing
• Communication Strategies
• Data analysis
• Governance, Risk and Controls
• Industry trends
• Microsoft Office
• Principles of financial management
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Research methodology
• Decision-making process
• Cluster Specific Operational Knowledge
• Business Acumen
• IT / Banking knowledge
• IT / Banking procedures

Behavioural Competencies

• Applied Learning
• Building Partnerships
• Collaborating
• Decision Making
• Quality Orientation
• Technical/Professional Knowledge and Skills