Technical Data Analyst

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.

Job 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

Preference Recruiting Team at +27 860 555 566will be given to candidates from the underrepresented groups

Please contact the Nedbank.

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Please contact the Nedbank Recruiting Team at +27 860 555 566