Active Jobs at Nedbank

Job Purpose

• To manage and maintain risk-adjusted pricing and risk ratings for complex credit lending to large corporate clients, in alignment with Basel regulatory requirements. This includes enabling value-based management and supporting the continued implementation of the Internal Ratings-Based (IRB) Approach within the investment banking environment.

Job Responsibilities

Credit Policy & Complex Lending Management:

Client Relationship & Service Management:

Personal & Team Development

Process Improvement & Corporate Responsibility

• Align with the bank’s credit policy while managing complex credit lending solutions for large corporate clients.
• Prepare and recommend credit applications involving structured finance, syndicated loans, and multi-tiered facilities within approved parameters.
• Assess credit risk by analysing financial statements, debt repayment history, earnings, and corporate purchasing behaviour.
• Recommend appropriate credit terms and structures, including bespoke facilities, covenant packages, and risk mitigants.
• Evaluate the financial status of large corporations to determine risk levels using advanced financial modelling and stress testing.
• Apply financial ratios, industry benchmarks, and sector-specific metrics to assess cash flow adequacy and repayment capacity.
• Recommend credit limits and structures in line with internal lending policies and regulatory frameworks.
• Monitor credit reports and portfolio performance to identify emerging risks and ensure compliance with Basel and IRB standards.
• Measure compliance, identify breaches, and escalate risk concerns with actionable recommendations.
• Obtain and verify updated financial information to support ongoing credit reviews and condition signoffs.
• Ensure appropriate security and collateral structures are in place for complex lending transactions.
• Meet Nedbank Group Rating requirements by conducting thorough account reviews and identifying credit deterioration.
• Monitor daily excess reports to identify clients exceeding approved limits and initiate corrective actions.
• Risk-rate clients using internal risk systems and assess financial positions in line with IRB methodology.
• Deliver high-quality service by understanding the unique needs of large corporate clients and responding with tailored credit solutions.
• Enhance client satisfaction by sharing insights and developing the capabilities of the client service team and stakeholders.
• Build strong relationships with internal stakeholders by participating in deal forums and supporting strategic initiatives.
• Maintain robust external client relationships by understanding their industries, capital structures, and strategic goals.
• Collaborate with other bank divisions (e.g., treasury, legal, risk) to structure and execute complex deals.
• Provide accurate and timely information to stakeholders by maintaining deep product and policy knowledge.
• Stay informed on regulatory changes, industry trends, and market developments affecting corporate credit.
• Demonstrate Nedbank’s values and vision in all stakeholder interactions.
• Pursue continuous learning through training, certifications, and career development initiatives.
• Foster a collaborative team environment through clear communication and role alignment.
• Identify opportunities to enhance credit processes, systems, and policies for complex lending.
• Support transformation and culture-building initiatives aligned with Nedbank’s strategic goals.
• Participate in corporate social responsibility programs that align with business and community objectives.

Requirements

• Minimum 3 years’ experience in credit analysis focused on assessing the creditworthiness of large corporate clients, particularly within complex lending environments such as structured finance, syndicated loans, or multi-tiered facilities.
• Minimum 3 years’ experience in business or corporate banking, with a strong track record of evaluating detailed financial statements and credit reports to determine a client’s ability to meet debt obligations in high-value, multi-entity structures.
• NQF Level 7 or higher qualification in Financial Management, Accounting, Credit Risk Analysis, or a related field

Technical / Professional Knowledge

• Banking knowledge
• Communication Strategies
• Data analysis
• Governance, Risk and Controls
• Industry trends
• Principles of financial management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Research methodology
• Business Acumen

Behavioural Competencies

• Coaching
• Communication
• Continuous Learning
• Collaborating
• Work Standards
• Technical/Professional Knowledge and Skills

Closing Date  -  29 January 2026

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Job Purpose

• To review credit assessment and manage risk across lending products to provide oversight and optimise the credit portfolio quality for Nedbank.

Job Responsibilities

• Perform monitoring exercise to ensure business alignment to agreed risk appetite measures.
• Gain consensus and highlight pertinent credit risk issues by preparing and presenting reports to various forums.
• Align credit policy to changes in the regulatory environment and in line with best practice by scanning changes and making recommendations.
• Facilitate and guide monitoring activities by obtaining legal opinion and directives.
• Establish emerging risks by studying the external environment including competitors and the macro economy.
• Manage budget by controlling expenditure.
• Contribute towards financial targets by monitoring and improving credit risk.  
• Identify, establish and maintain relationships with stakeholders to ensure buy-in of monitoring activities and recommendations.
• Provide independent opinion to stakeholders to inform prudent risk management.
• Challenge recommendations and policy changes made by the business to ensure thorough understanding of the risk involved.
• Represent Credit Risk by participating in Risk Committees and Forums.
• Ensure that the bank, in its lending practices, treats the customer ethically and fairly by being the customer's voice in Risk Committees and Forums.
• Ensure alignment to changes in regulations and Group Policy by contributing to the maintenance of an up to date credit policy.
• Deliver on the credit risk monitoring plan by managing resources and activities.
• Address immediate and emerging risks by performing ad hoc monitoring exercises.
• Ensure compliance of agreed corrective actions by continuous monitoring.
• Ensure alignment of business to policy and regulations by monitoring and making recommendations.
• Ensure clear direction of activities by establishing and following an annual visitation programme for all regions.
• Ensure accuracy and quality by monitoring work done by team.
• Mentor and coach staff on identified performance gaps by discussing these performance gaps and agree on appropriate action to be taken.
• Motivate staff to perform and contribute to the success of the business by creating environment of teamwork through engaging with staff (sharing information) and encouraging participation in decision making processes.
• Stay abreast in field of expertise and deliver on the expectations from stakeholders by building capability of self and staff through identifying current and future training and development needs.
• Contribute to team effectiveness by  following the recruitment process when recruiting talent.
• Maintain a capable high performing team and  ensure an environment for optimal performance is created by identifying talent pool through conducting career conversations, utilising the talent grid principles and developing talent retention programmes (e.g. rotation).
• Ensure self and staff understand and embrace the Nedbank Vision and Values by leading by example and re-enforcing values during meetings.
• Manage the on boarding process of new employees by ensuring execution of preparations according to the on-boarding check-list.
• Ensure transformational targets are met for own team through consideration of targets during the staff recruitment, retention and training process and utilising suppliers listed on the preferred supplier list.
• Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc.).
• Create a client service culture through various required interventions.
• Achieve operational excellence by supporting the implementation of business optimisation improvement through team engagement.
• Encourage team to generate innovative ideas and share knowledge.

Requirements

• NQF Level 7 or Higher in a Financial or Banking related field essential 
• CIMA, Credit management degree or equivalent will be advantageous.
• Valid driver's license and own reliable vehicle
• Min 5 Years’ Credit Assessment / Credit Evaluation and decisioning experience within Banking environment 
• Min 3 Years' Business Banking experience in evaluating current and prospective clients financial Statements and credit reports to determine their ability to honour debt obligations. 
• Firm understanding of legalities associated with lending and collateral
• 1 – 2 Years’ experience in a Team Management / Supervisory would-be advantage
• Proven track-record on managing a large book.
• Must be prepared to travel

Technical / Professional Knowledge

• Business administration and management
• Change management
• Client service management
• Financial Accounting Principles
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Service level agreements
• Strategic planning
• Management information and reporting principles, tools and mechanisms

Behavioural Competencies

• Building Partnerships
• Earning Trust
• Coaching
• Communication
• Decision Making
• Inspiring others
• Guiding Team Success
• Planning and Organizing

Closing Date  -  29 January 2026

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Job Purpose

• The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the Nedbank Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives.
• In addition, Data Engineers enhance the data infrastructure of the bank to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders.
• They also create data pipelines, Ingestion, provisioning, streaming, self service, API and solutions around big data that support the Bank's strategy to become a data driven organisation.

Job Responsibilities

• Responsible for the maintenance, improvement, cleaning, and manipulation of data in the bank's operational and analytics databases.
• Data Infrastructure: Build and manage scalable, optimised, supported, tested, secure, and reliable data infrastucture eg using Infrastructure and Databases (DB2, PostgreSQL, MSSQL, HBase, NoSQL, etc), Data Lakes Storage (Azure Data Lake Gen 2), Cloud-based solutions (SAS , Azure Databricks, Azure Data Factory, HDInsight), Data Platforms (SAS, Ab Initio, Denodo, Netezza, Azure Cloud). Ensure data security and privacy in collaboration with Information Security, CISO and Data Governance

Data Pipeline Build (Ingestion, Provisioning, Streaming and API): Build and maintain data pipelines to:

• create data pipelines for data integration (Data Ingestion, Data Provisioning and Data Streaming) utilising both On Premise tool sets and Cloud Data Engineering tool sets
• efficiently extract data (Data Acquisition) from Golden Sources, Trusted sources and Writebacks with data integration from multiple sources, formats and structures
• load the Nedbank Data Warehouse (Data Reservoir, Atomic Data Warehouse, Enterprise Data Mart) 
• provide data to the respective Lines of Business Marts, Regulatory Marts and Compliance Marts through self service data virtualisation
• provide data to applications or Nedbank Data consumers
• transform data to a common data model for reporting and data analysis, and to provide data in a consistent, useable format to Nedbank data stakeholders
• handle big data technologies (Hadoop), streaming (KAFKA) and data Replication (IBM Inphosphere Data Replication)
• drive utilisation of data integration tools ( Ab Initio) and Cloud data integration tools (Azure Data Factory and Azure Data Bricks)
• Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic Data Warehouse and Enterprise Data Marts.
• Nedbank Data Warehouse Automation: Automate, monitor and improve the performance of data pipelines.
• Collaboration: Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientistsm Scrum Masers and Data Warehouse teams as part of a squad to contribute to the data architecture detail designs and take ownership of Epics end-to-end and ensure that data solutions deliver business value.
• Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security.
• Performance and Optimisation: Ensure the performance of the Nedbank data warehouse, integration patterns, batch and real time jobs, streaming and API's.
• API Development: Build API's that enable the Data Driven Organisation, ensuring that the data warehouse is optimised for API's by collaborating with Software Engineers.

Essential Qualifications - NQF Level

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Field of Study:Bcom, BSc, BEng

Preferred Certifications

• Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist. 

Minimum Experience Level

• Total number of years of experience:3 - 6 years
• Type of experience:Experienced at working independently within a squad and has the demonstrated knowledge and skills to deliver data outcomes without supervision.
• Experience designing, building, and maintaining data warehouses and data lakes.
• Experience with big data technologies such as Hadoop, Spark, and Hive. Experience with programming languages such as Python, Java, and SQL. Experience with relational databases and NoSQL databases.
• Experience with cloud computing platforms such as AWS, Azure, and GCP.
• Experience with data visualization tools.  
• Result-driven, analytical creative thinker, with demonstrated ability for innovative problem solving.   

Technical / Professional Knowledge

• Cloud Data Engineering (Azure , AWS, Google)
• Data Warehousing
• Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)
• Programming (Python, Java, SQL)
• Data Analysis and Data Modelling
• Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL)
• Agile Delivery
• Problem solving skills

Behavioural Competencies

• Decision Making
• Influencing
• Communication
• Innovation
• Technical/Professional Knowledge and Skills
• Building Partnerships
• Continuous Learning

Closing date: 30 January 2026