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Technical Data Analyst

5 months ago

Johannesburg, South Africa Nedbank Full time

**Requisition Details & Talent Acquisition Consultant**
- REQ 135220 Thembi Mtshali- Location: Johannesburg- Closing date- Job Family- Information Technology
- Career Stream- It Application Development
- Leadership Pipeline- Manage Self: Technical
- FAIS Affected**Job Purpose**
- To design, develop, and maintain robust data systems that support credit risk analysis and decision-making processes.**Responsibilities**:

- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Interpret data, analyse results using statistical techniques, and provide ongoing reports.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Work closely with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Develop and maintain data governance frameworks to ensure data integrity and compliance with regulatory standards.
- Lead initiatives to enhance data security and privacy, ensuring all data handling practices meet industry best practices and legal requirements.
- Develop and maintain comprehensive documentation for all data processes and systems to ensure transparency and continuity.
- Conduct regular audits of data systems to identify and rectify any discrepancies or inefficiencies.
- Essential Qualifications- Minimum required Qualification: Bachelor’s degree in Computer Science / Mathematics / Financial Mathematics / Statistics/ Informatics/ Information Systems, or another quantitative field.
- Proven track record as a data developer or data analyst.
- Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- Strong knowledge of, and experience with reporting packages, databases (SQL, etc.), programming (ETL (Extract, Transform, Load) frameworks).
- Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SAS, etc.).
- Certification in data management or analytics (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate etc.) would be advantageous.
- Minimum Experience Level- 3+ years’ experience in credit risk and data analytics
- Experience in data management and analysis, preferably within the credit risk environment.
- Familiarity with credit risk models and their implementation.
- Experience in handling large data sets and relational databases.
- Experience in leading cross-functional teams in data-driven projects.
- Proven / Demonstrable track record of business requirement implementation models /data models / rule set optimisation in a business environment.
- Experience in developing and implementing data quality frameworks.
- Knowledge of the Credit Banks Act Returns, Credit Risk Economic and Regulatory Capital, credit risk systems, data, and processes
- Background in data and financial risk management and understanding of credit risk assessment methodologies.

**Technical / Professional Knowledge**
- Administrative procedures and systems
- Banking knowledge
- Banking procedures
- Business principles
- Business terms and definitions
- Data analysis
- Governance, Risk and Controls
- Microsoft Office
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Business writing skills
- Cluster Specific Operational Knowledge
- Behavioural Competencies- Coaching
- Communication
- Initiating Action
- Managing Work
- Quality Orientation
- Technical/Professional Knowledge and Skills

**Disclaimer**

**_Please contact the Nedbank._**
- **_Please contact the Nedbank Recruiting Team at +27 860 555 566_