Nedbank Group Limited is a bank holding company that operates as one of the four largest banking groups in South Africa. The company's shares have been listed on the JSE Limited since 1969. The group offers a wide range of wholesale and retail banking services through four main business clusters, namely Nedbank Corporate and Investment Banking, Nedbank Retai...
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Job Purpose
- To develop and maintain best practice models and assessment strategies in line with regulations (where applicable) in order to facilitate world class risk management and/or attainment of strategic objectives.
Job Responsibilities
- Build and formally present reports by monitoring business performance within the set risk appetite and through analysis.
- Report to; monitor and advise operational areas to manage trends through analysis for ad-hoc requirements.
- Manage client expectations by liaising with stakeholders through the model build process as well as the systems and strategy development process.
- Increase efficiencies through programming and automating processes.
- Enhance business efficiencies and ensure compliance through formal communications and interacting with external bodies.
- Challenge model builds from around the cluster through peer review participation and ensuring best practice.
- Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
- Research and make recommendations for corporate citizenship initiatives in area of influence
- Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
- Seek opportunities to improve business processes; models and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
- Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
- Contribute to the development of differentiated; superior solutions (solution engineering) that meet stakeholder and business requirements through analysis; business requirements gathering and designs validation.
- Ensure product and/or solution design is congruent with the required business specifications through meeting stakeholder requirements timeously.
- Ensure continuity and record keeping through formal sign-off at forums and by creating documentation.
- Ensure data accuracy through data and front-end analysis; pre and post testing of system/strategy changes.
- Ensure business process consistency through formal communication; updating and maintaining policies.
- Ensure accuracy and feasibility through impact analysis for newly developed products.
- Review reporting and ensure accuracy through analysis and providing feedback.Providing advice to key operational areas ensuring optimal resource allocation and desired results through analysis and communication.
- Manage access and change control and ensure compliance by creating change logs and restricting/providing access.
- Take corrective action where risk is identified in any processes; models or reporting; through analysis and formal communication.
- Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned.
- Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
- Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed; experience practiced and certifications obtained and/or maintained within specified time frames.
- Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team and stakeholders during formal and informal interaction
Technical Skills Required
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Essential Qualifications
- Degree in a Quantitative field, Commerce, Maths, Stats, Computer Science, Engineering
Preferred Experience
- Minimum 5 years relevant experience as a Quantitative Analyst within Banking and/or Credit Risk industry
Technical / Professional Knowledge
- Industry trends
- Microsoft Office
- Principles of project management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Risk management process and frameworks
- Business writing skills
- Microsoft Excel
- Business Acumen
- Quantitative Skills
Behavioural Competencies
- Applied Learning
- Coaching
- Communication
- Collaborating
- Decision Making
- Continuous Improvement
- Quality Orientation
- Technical/Professional Knowledge and Skills
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Job Purpose
- Support the formulation of marketing strategy and the annual marketing plan and manage and effect the implementation of the marketing plan with the objective of influencing targeted consumers or businesses to choose Nedbanks products and services and to achieve specific measurable business and marketing objectives.
Job Responsibilities
Campaign Execution:
- Own end-to-end execution of BCB marketing campaigns (BTL and selected ATL).
- Manage timelines, briefs, creative delivery, and rollouts across digital, social, internal, and other media channels.
- Ensure campaigns align with communication strategy and client journeys.
Agency & Stakeholder Management:
- Work with external agencies and creative partners to clarify copy and creative requirements.
- Engage internal stakeholders across BCB segments (SME, NCB, Mid-Corporate).
- Attend discovery sessions, DSUs, and sprint reviews.
Performance Tracking & Reporting:
- Monitor campaign progress on JIRA and provide bi-monthly updates.
- Prepare monthly OpCom reports and post-campaign analysis (PCA).
- Track campaign targets vs. actuals and escalate bottlenecks.
Digital Marketing:
- Manage SEO, paid social, and lead generation tactics for B2B clients.
- Collaborate with I&J team to optimize digital campaigns for lead generation and performance metrics.
Budget Management:
- Track and manage allocated budgets, report on actuals vs. budget.
- Interrogate supplier costs against industry norms to ensure value delivery.
MarTech & Innovation:
- Work with business to formulate MarTech use cases across key BCB segments.
- Seek opportunities for process enhancements and efficiencies.
Client Engagement:
- Support execution of webinars, business events, and client engagement programs.
Essential Qualifications - NQF Level
- Diploma
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Diploma or Degree in Marketing, Communications, or related field.
Minimum Experience Level
- Minimum 5+ years in marketing roles, preferably with exposure to B2B marketing and campaign execution.
- Proven ability to manage multi-channel campaigns (BTL and ATL) and deliver results in a fast-paced environment.
- Strong stakeholder engagement and agency management experience.
- Demonstrated capability in digital marketing, including SEO, paid social, and lead generation.
- Solid understanding of budget management, reporting, and supplier cost analysis.
- Familiarity with project management tools (e.g., JIRA – training available internally).
- Experience in developing and implementing marketing plans aligned to business strategy.
- Ability to translate client value propositions (CVPs) into compelling marketing initiatives.
Technical / Professional Knowledge
- Accounting principles
- Communication Strategies
- Governance, Risk and Controls
- Decision-making process
- Company/Division/Cluster/Business Unit specific business knowledge
- Understanding of branding & brand building principles and techniques as drivers of marketing strateg
- Writing of briefs and verbal articulation thereof to internal and external stakeholders
- Development and implementaion of marketing plans in support of the marketing and business strategies
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Job Purpose
- To manage and optimize the post close book of renewable energy asset projects within the Power and Renewables Finance portfolio, ensuring effective oversight of project finance structures and related transactions. This role supports the Investment Banking strategy by safeguarding asset performance, mitigating risks, and driving value creation across the energy sector, while contributing to the growth and sustainability objectives of the business.
Job Responsibilities
Portfolio and Credit Management
- Monitor and manage the financial and operational performance of existing energy project finance assets, including project finance debt and equity lending.
- Conduct annual credit reviews, risk assessments, and covenant analyses.
- Lead amendment and waiver processes, coordinating with internal teams (credit, legal, environmental) and external stakeholders; address ad hoc requests during construction or operations of the assets.
- Track compliance with financing arrangements, key milestones, reporting obligations, and performance metrics.
- Conduct regular site visits to construction and operational energy assets.
- Review and approve distribution and utilization requests.
Stakeholder Engagement and Relationship Management
- Engage with clients and external advisors (technical, legal, financial, insurance) on operational and contractual matters.
- Collaborate with internal and external stakeholders to resolve issues, mitigate risks, and drive project success.
- Build and sustain strong relationships across functional and organizational boundaries through effective collaboration.
Reporting and Governance
- Prepare periodic asset management reports and dashboards for senior management.
- Maintain accurate records of project performance, contractual changes, and risk ratings.
- Ensure compliance with credit, investment, and governance policies of the bank.
Essential Qualifications - NQF Level
- Professional Qualifications/Honour’s Degree
Preferred Qualification
- CA(SA) / ACCA / MBA / CFA / Relevant Postgraduate Qualification
Minimum Experience Level
- 3-5 years’ financial services experience preferably in a Project Finance role at an Investment Bank, Advisor, IPP, Developer or Institutional Investor
Technical / Professional Knowledge
- Business Acumen
- Business principles
- Business writing
- Data analysis
- Governance, Risk and Controls
- Principles of financial management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Research methodology
- Relevant product knowledge
Behavioural Competencies
- Applied Learning
- Communication
- Collaborating
- Building partnerships
- Managing Work
- Technical/Professional Knowledge and Skills
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Job Purpose
- Educate clients on the functionality of self-service digital solutions, whilst solving for their sales and service needs, in order to meet business goals and growing market share.
Job Responsibilities
Client Engagement:
- Respond to client needs by offering the right service and solution.
- Build client trust by applying your expertise and experience to do good for your client.
- Educate clients and potential clients on how to subscribe and service their account.
- Treat clients with respect, build trust, show care and humility in all client interactions.
- Help clients achieve their goals and grow financially.
- Own the client request end to end and route for alternative intervention if not equipped to service the client.
- Entrench clients and deliver value through cross selling.
- Facilitate the sales process by informing clients of the product features and benefits.
- Document client needs analysis and provide corresponding product solutions.
- Obtain referrals from existing clients as well as leads from other business units.
- Build, maintain and retain client relationships by keeping clients informed of progress or action taken regarding their applications, queries, and requests.
- Educate clients on the use of, secure, alternative, cost effective, time saving and convenient self-service channels.
- Collaborate with internal stakeholders to provide complete financial solutions for clients.
- Ensure great client experiences by making the client feel welcome, listened to, and owning and solving their financial problems.
- Ensure clients are onboarded in line with Nedbank's product strategy, policy, and procedure.
- Act with a client first mindset in all client engagements.
Nedbank Goals:
- Contribute to the success of Nedbank through meeting your service excellence, teamwork and personal development goals whilst adhering to Nedbank security, operational and compliance procedures, and policies.
- Develop, retain, and grow the business by delivering against individual and team goals that support a positive client experience.
- Increase market share of primary clients by entrenching clients through Core+ needs discussions, salary and debit order switching as well as enrolling clients on the various digital platforms.
- Identify and resolve work obstacles and problems through participating in team meetings, sharing information and reviewing performance against targets and standards.
- Ensure all sales activities are completed to plan, progress reviewed, and corrective action taken.
- Support the achievement of the sales and service strategy objectives and values.
- Enable Nedbank's strategy of being financial experts who do good.
- Covert leads into sustainable business for Nedbank in a responsible manner.
Risk and Compliance:
- Mitigate risks and meet legislative requirements (e.g. FICA, FAIS and Letter of Authority) by being accredited and updating and maintaining client information.
- Report suspicious transactions to the relevant department.
- Keep abreast of legislation and other industry changes that impacts on role by reading the relevant newsletters, communications, and training material.
- Manage risk by meeting technical, company standards, practices, and resource management (e.g. ultra-violet lights to identify false identity documents).
- Be a responsible employee by being compliant to Nedbank policies, controls, regulations, and banking legislation.
Essential Qualifications - NQF Level
Preferred Qualification
- FAIS Approved Qualification
Minimum Experience Level
- 1 - 2 years Retail/Banking Client Service, Sales, Relationship experience
Technical / Professional Knowledge
- Product sales skills
- Sales Strategies
- Product Knowledge
- Customer service principles
- Nedbank policies and procedures
- Customer relationship management
Behavioural Competencies
- Building Customer Loyalty
- Building Trusting Relationships
- Sales Persuasion
- Technology Savvy
- Planning and Organizing
- Adaptability
- Applied Learning
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Job Purpose
- To structure and co-ordinate sustainable finance solutions in order to maximise sustainable revenue streams through the pursuit of profitable and innovative sustainable finance solutions and transactions.
Job Responsibilities
- Build sound client relationships (existing and new clients) by clear communication; regular meetings and setting clear objectives and time lines.Manage internal stakeholder relationships by collaboration across all clusters; clear communication; agreeing on objectives and time lines and requesting stakeholder input in decision making.
- Build professional relationships by networking. Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc.).
- Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
- Seek opportunities to improve business processes and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
- Evaluate deal progress in line with set objectives and time lines by scheduling and leading progress meetings; following up on deliverables; scheduling review meetings with client and reviewing own work before submitting to relevant stakeholders.
- Ensure timeous submission of credit reviews by effectively planning (setting deliverables; expectations and time lines); early engagement and following up stakeholders on deliverables; delegating and reviewing associates work and assisting in deal implementation across various aspects of the transaction.
- Monitor and assess credit exposure for any increase in risk by assessing exposures for appropriateness taking into consideration the client business performance and market conditions.
- Adapt to changes in all relevant legislation and industry trends by attending relevant training sessions or informal meeting with relevant divisions.
- Ensure appropriate allocation of revenue streams by submitting proposals to finance including a motivation for the recommended classification of the revenue.
- Resolve work obstacles by lobbying and one on one engagements with relevant stakeholders.
- Lead transaction to close by completing deal assessments; running various pricing scenarios; structuring the transaction; negotiating legal documents; preparing credit applications and executing on compliance and presenting application to credit committee.
- Assist Principals to close transactions by sharing your professional skills; completing deal assessments; running various pricing scenarios and scoping financial models; structuring the transaction; executing on compliance and presenting application to credit committee.
- Maintain required balance between South Africa and Africa revenue streams by putting more effort and focus on the African deal.
- Maintain and build existing and on-board market share by applying your professional skills.
- Support the achievement of the business strategy; objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems; process; services and solutions are aligned.Identify training courses and career progression for self through input and feedback from management.
- Ensure all personal development plan activities are completed within specified time frame.
- Share knowledge and industry trends with team and stakeholders during formal and informal interaction.
- Contribute to developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders businesses by highlighting benefits in support of the implementation of recommendations.
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Chartered Accountant , Chartered Financial Analyst (CFA),Master Degree in Sciences or Legal.
Essential Certifications
- Chartered Accountant (SA), Chartered Financial Analyst, Chartered Institute of Management Accountants (Not essential)
Minimum Experience Level
- 6-8 years relevant experience in dealmaking in Investment Banking
- Sustainable Finance Experience (12 months or more)
Technical / Professional Knowledge
- Microsoft Office
- Nedbank culture and values
- Nedbank policies and procedures
- Nedbank vision and strategy
- Principles of financial management
- Principles of project management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Research methodology
- Decision-making process
Behavioural Competencies
- Building Partnerships
- Collaborating
- Customer Focus
- Initiating Action
- Work Standards
- Managing Work
- Technical/Professional Knowledge and Skills
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Job Purpose
- To assist in executing and implementing complex transactions with targeted clients of the bank related to lending and other structured transactions (non-vanilla lending), with a focus on energy projects requiring technical understanding of electrical systems or renewable energy solutions.
Job Responsibilities
- Assist in the preparation of credit papers (applications, memos, updates, reviews).
- Presenting to credit and pricing committees.
- Assist in identifying new investment opportunities and pitching to clients.
- Lead due diligence process by co-ordinating internal teams and working closely with external advisors.
- Assist with the review of legal documents to ensure robust contracts and deal documentation and the incorporation of all commercial terms in the legal documents.
- Support the building and maintaining of external stakeholder relationships by networking, attending conferences, maintaining regular contact and ongoing communication, and site visits.
- Build and maintain internal stakeholder relationships by liaising and collaborating with relevant stakeholders and facilitating the sign-off of relevant transactions.
- Ensure completion of high-quality credit papers within specified timelines by planning, scheduling, researching & gathering information, managing own time, reviewing own work and preparing in advance.
- Support effective execution of transactions by applying your skills; modelling, negotiating, researching and analysing investment proposals.
- Meet performance targets by executing transactions in collaboration with internal and external stakeholders.
- Support the achievement of the business strategy, objectives and values by reviewing Nedbank and Business Unit Plan.
- Being a sector expert by keeping up with market trends and attending webinars and conferences as required
- Enable skilling and sharing knowledge and industry trends with team and stakeholders during formal and informal interaction.
- Identify training courses and career progression for self through input and feedback from management.
- Ensure all personal development plan activities are completed within specified timeframe.
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Degree in Electrical Engineering / Renewable Energy Engineering or a Chartered Accountant (CA), Chartered Financial Analyst (CFA)
Minimum Experience Level
- 6+ years relevant sector experience
Technical / Professional Knowledge
- Microsoft Office
- Nedbank culture and values
- Nedbank policies and procedures
- Nedbank vision and strategy
- Principles of financial management
- Principles of project management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Research methodology
- Decision-making process
Behavioural Competencies
- Building Partnerships
- Collaborating
- Customer Focus
- Initiating Action
- Work Standards
- Managing Work
- Technical/Professional Knowledge and Skills
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Job Purpose
- To recommend and or grant credit in order to place quality assets on to the book and continued risk management across Nedbank.
Job Responsibilities
- Conduct in-depth credit reviews and portfolio monitoring of large corporate exposures to ensure alignment with risk appetite and early identification of emerging risks.
- Gain consensus and highlight pertinent credit risk issues by preparing and presenting reports to various forums.
- Contribute to the development and refinement of credit policy frameworks for complex corporate lending, ensuring compliance with regulatory and internal governance standards.
- 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.
- 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.
- Deliver expert credit opinions on high-value transactions, including syndicated loans, structured finance, and cross-border exposures.
- 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 credit analysts and contribute to building internal expertise in complex credit structuring.
- 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.
- 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 qualification in a Financial or Banking-related field is essential.
- A CIMA, Credit Management degree, or equivalent qualification will be advantageous.
- Minimum 5 years’ experience in Credit Assessment, Evaluation, and Decisioning within a banking environment, specifically involving large commercial or corporate clients with complex financial structures.
- Minimum 3 years’ Business Banking experience evaluating financial statements and credit reports of current and prospective large business clients to determine their creditworthiness.
- Proven track record in managing a large credit portfolio, including high-value and structured lending transactions.
- 1–2 years’ experience in a team leadership or supervisory role will be advantageous.
- Strong understanding of the legal frameworks and regulatory requirements associated with lending and collateral, particularly in the context of large commercial clients.
- Familiarity with credit policy, risk appetite frameworks, and regulatory compliance in a corporate banking environment.
- Valid driver’s license and own reliable vehicle.
- Willingness and ability to travel as required.
- Must have an Individual Credit Mandate of R30Million
Technical / Professional Knowledge
- Banking knowledge
- Banking procedures
- Business Acumen
- Communication Strategies
- Data analysis
- Governance, Risk and Controls
- Industry trends
- Nedbank policies and procedures
- Principles of financial management
- Principles of project management
Behavioural Competencies
- Communication
- Customer Focus
- Decision Making
- Work Standards
- Managing Work
- Technical/Professional Knowledge and Skills
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Job Purpose
- To develop and lead a specific Investment Banking led strategy of Nedbank and Nedbank CIB in the South African and Africa market through the IBO leading, developing and implementing our sector focused strategy. The IBO will strategically focus on the Agriculture sector (alongside the business heads) and originate Investment Banking deals to create deal flow and value for our clients, Nedbank and NCIB.
Job Responsibilities
- Use specific market knowledge, strong industry and sector specific experience, relationships at the C-suit level to enhance the Investment Banking strategy of NCIB through implementing Investment Banking led solutions for clients.
- Improve NCIB origination capability and market share through leveraging established C-suit relationships and forging new networks at the Chairman, CEO and CFO level for NCIB.
- Generate sustainable earnings (NIR and NII), with acceptable risk adjusted returns by developing solutions to meet requirements of existing and potential customers.
- Drive the advancement of collaborative banking solutions to realise synergies and grow bank wide profitability by retaining clients and supporting cross selling to relevant product areas.
- Participate and provide input into integrated strategic /business plan which enables CIB to focus relevant activities and grow its sector-based pipeline.
- Manage the CIB approach through collaboration with internal stakeholders across all relevant business units to drive opportunities and a co-ordinated approach across key markets, sectors and clients, resulting in a positive impact on Nedbank’s bottom-line.
Essential Qualifications - NQF Level
- Professional Qualifications/Honour’s Degree
Preferred Qualification
- BCom Accounting/Finance/Economics (Business Related)/Legal/MBA
Essential Certifications
Minimum Experience Level
Technical / Professional Knowledge
- Business writing skills
- Business Acumen
- Strategic planning
- Stakeholder management
- Budgeting
- Communication Strategies
- Financial Accounting Principles
- Relevant Governance controls and regulatory knowledge
Behavioural Competencies
- Building Partnerships
- Customer Focus
- Hyper-Collaboration
- Strategic Planning
- Operational Decision Making
- Initiating Action
- Cultivating Networks and Partnerships
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Job Purpose
- To deliver banking solutions to clients by understanding their business and needs through relationship management to achieve Nedbanks strategy to be the most admired bank.
Job Responsibilities
- Deliver banking solutions that meet client needs through understanding of client's business and needs through relationship management.
- Demonstrate an understanding of risk parameters by managing client relationships according to credit principles
- Improve results by tracking and analysing financial reports against agreed measures.
- Understand clients business and needs through proactive client relationship management according to portfolio mandate.
- Build relationships with internal stakeholders through communication and networking as determined by client needs.
- Collaborate with third parties by engaging with them as guided by requirements of solutions delivered to clients.
- Complete tasks through planning and reviewing against set targets.
- Manage resources (time, processes and support teams) to optimize value against client expectations.
- Comply with risk standards,policies and procedures through training and development as required by group complianceframework
- Research and analyse information by using problem solving techniques to propose solutions for work challenges.
- Support the achievement of the business strategy, objectives and values by reviewing Nedbank and Business Unit Plan and ensuring delivered systems, process, services and solutions are aligned.
- Identify training courses and career progression for self through input and feedback from management.
- Ensure all personal development plan activities are completed within specified timeframe.
- Share knowledge and industry trends with team and stakeholders during formal and informal interaction.
- Obtain buy-in for developing new and/or enhanced processes (e.g. operational processes) that will improve the functioning of stakeholders' businesses by highlighting benefits in support of the implementation of recommendations.
- Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives (e.g. staff surveys etc).
- Participate and support corporate responsibility initiatives for the achievement of business strategy (e.g.. Green Strategy).
- Seek opportunities to improve business processes and systems by identifying and recommending effective ways to operate and adding value to Nedbank.
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
Preferred Qualification
- NQF Level 5 or Higher in a Financial or Business-related field essential
- Matric / Grade 12 / National Senior Certificate
Minimum Experience Level
- 2-3 years’ experience in Business Acquisition essential
- 2-3 years' Relationship management experience would be an advantage
- Valid driver's license and own reliable transport is essential
Technical / Professional Knowledge
- Banking knowledge
- Banking procedures
- Business Acumen
- Business principles
- Business writing
- Communication Strategies
- Data analysis
- Governance, Risk and Controls
- Microsoft Office
- Nedbank policies and procedures
- Nedbank vision and strategy
- Principles of financial management
- Principles of project management
- Relevant regulatory knowledge
- Relevant software and systems knowledge
- Decision-making process
- Nedbank culture
- Cluster Specific Operational Knowledge
Behavioural Competencies
- Communication
- Energy
- Building Trusting Relationships
- Managing Work
- Sales Disposition
- Sustaining Customer Satisfaction
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Job Purpose
- Apply domain-specific expertise in machine learning, data mining, and information retrieval to architect and build highly specialized and advanced analytic engines and services, pushing the boundaries of knowledge in the field and providing expert guidance to the enterprise.
Job Responsibilities
- Design and develop high-quality, reusable features for business-critical ML models.
- Apply advanced machine learning techniques (e.g., supervised, unsupervised, deep learning) to solve complex business problems.
- Conduct data discovery and exploratory analysis to identify valuable features and patterns.
- Contribute to the feature store lifecycle, including documentation, versioning, and governance.
- Apply graph-based techniques to model relationships and extract features for downstream ML tasks.
- Monitor and continuously improve deployed models, ensuring performance, fairness, and ethical compliance.
- Implement design of experiments, hypothesis testing, and model validation strategies.
- Build and maintain scalable, production-grade data pipelines for feature computation and model training.
- Transform raw data into clean, structured, analytics-ready datasets using modern data engineering tools (e.g., dbt, Airflow, Spark).
- Engineer real-time and batch data workflows to support ML and analytics use cases.
- Collaborate with other data engineers and scientists to ensure seamless integration of features into model pipelines.
- Implement data quality checks, monitoring, and validation processes to ensure reliability and trust in analytical outputs.
- Optimize data workflows for performance, cost-efficiency, and maintainability across cloud and on-prem environments.
- Translate complex data narratives into actionable business insights.
- Work closely with business stakeholders to understand requirements and deliver data-driven solutions.
- Architect analytical systems that support business strategy, objectives, and values.
- Contribute to use case roadmaps and prioritization aligned with strategic goals.
- Stay abreast of developments in ML, analytics engineering, and data infrastructure to drive innovation.
- Mentor junior data scientists and contribute to quality assurance across the team.
- Collaborate cross-functionally with data science, engineering, BI, and business teams.
- Promote ethical AI practices and ensure models in production are aligned with responsible AI principles.
- Support Nedbank’s culture-building and corporate responsibility initiatives.
Essential Qualifications - NQF Level
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- BSC Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuary Science or any STEM qualification
- Masters Degree Computer Science, Engineering, Econometrics, Mathematical Statistics, Actuary Science or any STEM qualification.
Preferred Certifications
- Machine Learning and Data Engineering related
Minimum Experience Level
- 7 years’ plus experience in a statistical and/or data science role.
Type of Exposure
- Data Science
- ML Engineering
- Data Warehousing
- Advanced analytics
- Marketing analytics
- Financial analytics
- Presentations skills
- Predictive analytics
- Data mining
- Strategy formulations
Technical / Professional Knowledge
- Strong proficiency in Python (required), with experience in R, Scala, or SQL.
- Experience with distributed computing tools (e.g., Spark, Ray) and cloud platforms.
- Familiarity with graph databases (e.g., Neo4j, TigerGraph) and graph analytics.
- Deep understanding of the data science lifecycle and analytics engineering principles.
- Experience in the financial services domain, with knowledge of regulatory and business-specific data contexts.
- Excellent communication skills and ability to work in cross-functional teams.
- Exposure to feature store platforms, ML model deployment, and MLOps practices.
Behavioural Competencies
- Strong problem-solving skills
- Good communication skills
- Ability to work in teams
- Decision Making
- Innovation
- Continuous Improvement
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Job Purpose
- To lead and grow a high-performing team focused on advanced Machine Learning (ML) modelling and artificial intelligence capabilities that drive strategic value across the organization. This role is accountable for the development and operationalization of cutting-edge AI solutions, including predictive modelling, and generative AI. It enables scalable, reusable, and ethical AI practices by fostering cross-functional collaboration, embedding robust governance, and aligning with enterprise-wide data and digital strategies.
Job Responsibilities
- Define, grow, and lead a team of Data Scientists and ML Modelling Experts across proficiency levels, fostering technical excellence, delivery discipline, and innovation.
- Develop and deploy traditional ML models across key financial services domains fraud detection, collections, AML, operations, etc; using techniques like regression, classification, clustering, and time-series analysis to support decision-making and regulatory compliance.
- Advance customer and business intelligence through behavioural modelling, segmentation, lifetime value prediction, churn modelling, and recommendation systems — leveraging ensemble methods, graph-based learning, and temporal feature engineering to drive personalization and strategic growth.
- Explore and integrate advanced modelling approaches, including deep learning, graph neural networks, and retrieval-augmented generation (RAG) models — to enhance model performance, enable contextual understanding from unstructured data, and support emerging use cases such as document intelligence and GenAI-assisted analytics.
- Apply specialised ML techniques such as computer vision, natural language processing (NLP), and large language models (LLMs) to solve domain-specific challenges — including document classification, KYC automation, sentiment analysis, and intelligent customer interaction across banking channels.
- Identify opportunities across the Nedbank Group to enhance model performance and scalability through foundational capabilities such as feature engineering, graph-based data representation, and reusable modelling assets.
- Apply financial services domain knowledge to ensure models are aligned with regulatory requirements, business priorities, and industry-specific data characteristics.
- Collaborate closely with internal stakeholders — including business, data science, engineering, and platform teams — to ensure modelling solutions are integrated, governed, and strategically aligned.
- Introduce and support GenAI capabilities, particularly retrieval-augmented generation (RAG) models, where they complement traditional modelling — e.g., enhancing model explainability, document summarization, or contextual data retrieval.
- Design and manage data pipelines that support both traditional ML and GenAI workflows, including real-time and batch feature computation from structured and unstructured data sources.
- Drive innovation in feature creation, leveraging advanced techniques such as graph-based feature extraction, temporal feature engineering, and embedding generation.
- Lead the implementation and operation of scalable, reliable, and governed modelling platforms, ensuring they are production-ready, secure, and aligned with business needs.
- Own the lifecycle of modelling assets — including availability, documentation, versioning, monitoring, and governance — to ensure high-quality, trusted inputs for ML and AI solutions.
- Solve complex, unstructured problems with a detail-oriented mindset, working independently and driving initiatives to completion.
- Possess strong business and communication skills, enabling effective collaboration with business owners to define key modelling needs and ensure foundational assets meet those needs.
- Manage financial and business results, ensuring delivery within budget and timelines, and compliance with divisional billing and cost recovery processes.
- Deliver high-quality modelling systems and processes aligned to Nedbank’s strategic goals, data strategy, and AI roadmap.
- Provide timely, professional advice and strategic input to stakeholders, ensuring delivery within agreed quality, budget, and time parameters.
- Build and maintain strong stakeholder relationships by delivering consistent, high-value modelling services and solutions.
- Actively engage with clients, partners, and internal teams to build trust, align expectations, and ensure delivery of best-practice modelling foundations.
- Promote knowledge sharing and collaboration across teams and departments to strengthen the modelling and AI capability.
- Operationalize divisional strategy by aligning team priorities and empowering first-line managers with clear roles, performance measures, and delivery goals.
- Leverage professional frameworks, tools, and technologies to deliver scalable, strategic modelling solutions.
- Manage multiple foundational modelling assets through strategic planning, implementation, and continuous improvement.
Essential Qualifications - NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Tertiary Qualification/ formal accreditation in STEM related field
- BSC Computer Science, BSc Engineering, Econometrics, Mathematical Statistics, Actuary Science.
- Masters or Doctorate will be an added advantage.
- Post graduate management qualification/MBA
Essential Certifications
- ITIL Talent nurturing or equivalent MMP/SMP / MM or equivalent
Minimum Experience Level
- Minimum 6 to 8 years Data Science experience with 1-2 years management experience
Technical / Professional Knowledge
- Deep understanding of Machine Learning, Statistics, Optimization, or related fields, with a strong emphasis on feature engineering, data representation, and model architecture design tailored to financial services use cases.
- Proficiency in Python (required), with experience in additional languages such as R, Scala, or Java being advantageous for integrating with enterprise systems and legacy platforms.
- Demonstrated experience applying machine learning foundations within the financial services sector, with a strong understanding of domain-specific data, regulatory considerations, and business drivers across risk, fraud, customer intelligence, and operational modelling.
- Experience working with large-scale datasets and distributed computing tools (e.g., Spark, Ray), particularly for feature computation, transformation, and scalable model training.
- Proven track record in delivering end-to-end ML use cases, with a focus on foundational components like feature stores, graph-based data structures, and reusable modelling assets.
- Hands-on experience with GenAI and retrieval-augmented generation (RAG) models, including the use of vector databases, embedding models, and prompt engineering to support document intelligence, contextual search, and hybrid ML-AI workflows.
- Ability to translate complex data concepts into business-relevant narratives and insights, enabling strategic decision-making and stakeholder alignment.
- Excellent written and verbal communication skills, with a strong ability to collaborate across cross-functional teams including data engineering, business, and platform stakeholders.
- Experience in budgeting, business administration, and strategic planning, with a focus on aligning modelling initiatives to divisional and enterprise goals.
- Knowledge of change management and client service management principles, ensuring smooth adoption and integration of modelling solutions.
- Familiarity with governance, risk, and controls, especially in the context of data and ML asset management, model risk, and regulatory compliance.
- Strong stakeholder management and influencing skills, with the ability to navigate complex organizational structures and drive consensus.
- Experience in employee development, talent management, and workforce planning, fostering a high-performance modelling team.
- Understanding of project management principles and relevant regulatory frameworks, including POPIA, Basel, and IFRS where applicable.
- Skilled in business writing, management reporting, and communication strategies, supporting executive-level engagement and reporting.
- Familiarity with the System Development Life Cycle (SDLC), ITIL, and IT architecture, ensuring modelling solutions are aligned with enterprise technology standards.
- Experience with graph databases (e.g., Neo4j, TigerGraph) and graph analytics, particularly for feature engineering and relationship modelling in financial datasets.
- Understanding of IT asset management processes and joint application development practices, supporting scalable and governed modelling infrastructure.
- Ability to work within and influence complex organizational structures, driving strategic modelling initiatives across multiple squads and domains.
Behavioural Competencies
- Building Partnerships
- Facilitating Change
- Inspiring others
- Business Acumen
- Building partnerships
- Driving for Results
- Selecting Talent
go to method of application »
Job Purpose
- To provide strategic leadership and guidance to teams by providing independent assurance of the control environment to the Nedbank Group Audit Committee and ensuring effective risk management practices are implemented across Nedbank..
Job Responsibilities
- The Senior Audit Manager – Data, in the discharge of his / her duties, shall be responsible, inter alia, to the Nedbank Group CIA / Portfolio Executive / s to:
- Support the periodic assessments of the outcomes of internal audit work to appropriate governing bodies, including the GAC, Board Risk Committee, Executive IT Committee (EITCO) and Group IT Committee (GITCO);
- Report on the overall effectiveness of the governance, risk and internal control framework of the Group;
- Comply with regulatory and corporate governance expectations of the internal audit functions;
- Report significant Emerging Technology issues related to the processes for controlling the activities of the Group, including potential improvements to those processes;
- Develop and implement technology solutions within Group Internal Audit to gain efficiencies in current audit processes and reporting (i.e. Robotics, AI, Machine Learning etc);
- Have in place a robust process to follow-up on management’s agreed actions to address Emerging Technology issues raised by GIA;
- Responsible for the delivery and measurable performance of their respective Emerging Technology portfolio, including audit plan delivery;
- Identify, understand and train the Digital & Technology team on Emerging Technology trends and technologies;
- Maintain an open and constructive relationship as a Trusted Advisor with senior internal and external stakeholders including Institute of Internal Audit, SARB, External Audit and Business Executives;
- Contribute to the development of a 12-month rolling audit plan (including Emerging Technology) using a risk-based methodology, taking into consideration specific business strategic focus areas, regulatory requirements pertaining to internal audit, as well as including any risks or control concerns identified by management, the GAC and the Board, macro and micro economic conditions;
- Deliver and report on the rolling Emerging Technology risk-based internal audit plan;
- Have a robust process in place to follow-up and report on management’s progress in implementing agreed actions to address Emerging Technology issues identified by GIA; and
- Maintain an open and constructive relationship with the CIA, GIA HoA: Digital & Technology, Business executives, and key stakeholders by providing value added services and sharing information.
PROVIDE VISIONARY AND INSPIRATIONAL LEADERSHIP
- Implement the vision and strategy including the leadership and culture philosophy, stakeholder approach and internal methods and tools. This should include alignment to the Nedbank and Business Unit strategy;
- Exhibit diverse, visionary and inspirational leadership - promoting a globally competitive financial sector;
- Actively participate in the Group’s Combined Assurance Model;
- Build a high-performance team through managing resources, retention and critical staff;
Types of Exposures
- Knowledge of data management frameworks and ability to conduct pilots to realize quick wins
- Practical knowledge of data governance. Ability to assess, provide design input to data governance structures and execute data governance capabilities i.e. policies and processes
- Practical knowledge of data quality principles, data profiling and data quality tools. Ability to assess, design data quality approaches and processes
- Practical knowledge of master data and reference data
- Practical knowledge of meta-data concepts, standards, processes and tools. Ability to design meta-data artefacts
- Practical knowledge of integration methods, processes and tools. Ability to assess and design and execute data integration processes
- Practical knowledge of data privacy
- Ability to organize functional work based on how it adds value and where it needs to be performed to position the business/client to gain competitive advantage.
- Experience with extracting and processing large amounts of data from systems, managing data and extracting value from data
Essential Certifications
- Minimum Bachelor’s degree in information technology or business informatics or computer science, engineering or related qualifications/ experience.
- Preferred qualifications in data management practices such as CDMP (Certified Data Management Professional).
Minimum Experience Level
- 8 – 10 years financial services experience in a senior position;
- Data Management, Analytics and Control
- Senior Management Experience
- Demonstrated experience working across multiple functional projects to understand data usage and implications for data management
- Demonstrated ability with assisting businesses in deriving value from data
- Previous consulting experience will be advantageous; and
- Leadership experience leading teams.
Technical / Professional Knowledge
- Accounting standards
- Change management
- Financial Accounting Principles
- Governance, Risk and Controls
- Principles of project management
- Relevant regulatory knowledge
- Risk management process and frameworks
- Strategic planning
- Institute of Internal Auditors standards
- Code of Ethics
Behavioural Competencies
- Building Partnerships
- Earning Trust
- Coaching
- Communication
- Driving for Results
go to method of application »
Job Purpose
- To lead a team and portfolio focused on foundational capabilities for machine learning, including feature engineering, platform development, and advanced data representations. The role supports multiple squads and contributes to the strategic enablement of scalable and reusable ML solutions across the organization.
Job Responsibilities
- Define, grow, and lead a team of Data Scientists across proficiency levels.
- Identify opportunities across the Nedbank Group to enhance machine learning outcomes through foundational capabilities such as feature engineering and advanced data representation (Graph).
- Demonstrate technical expertise in feature engineering, graph analytics, and ML-enabling platforms (e.g., feature stores, graph databases, etc).
- Understand the business context behind large datasets and develop foundational components that enable meaningful ML solutions.
- Apply deep financial services domain knowledge to ensure that machine learning foundations — including feature engineering, data representation, and platform design — are aligned with regulatory requirements, business priorities, and industry-specific data characteristics.
- Collaborate closely with internal stakeholders — including business, data science, and engineering teams — to align ML foundations with strategic priorities.
- Drive innovation in feature creation by adopting advanced techniques such as graph-based feature extraction and temporal feature engineering.
- Passionate about working with large, complex, and disparate datasets to extract reusable, high-impact features.
- Lead the implementation and operation of scalable, reliable, and governed ML feature platforms, ensuring they are production-ready and business-aligned.
- Design and manage data pipelines that support real-time and batch feature computation from diverse data sources and message streams.
- Solve unstructured problems with a detail-oriented mindset, working independently and driving initiatives to completion.
- Possess strong business and communication skills, enabling effective collaboration with business owners to define key data needs and ensure foundational assets meet those needs.
- Own the lifecycle of features — including availability, documentation, versioning, and governance, to ensure high-quality, trusted ML inputs.
- Manage financial and business results, ensuring delivery within budget and timelines.
- Ensure compliance with divisional billing requirements and cost recovery through accurate time tracking and transparent transfer pricing.
- Deliver high-quality foundational systems and processes aligned to Nedbank’s business requirements and strategic goals.
- Provide timely, professional advice and strategic input to stakeholders, ensuring delivery within agreed quality, budget, and time parameters.
- Build and maintain strong stakeholder relationships by delivering consistent, high-value services and solutions.
- Actively engage with clients, partners, and internal teams to build trust, align expectations, and ensure delivery of best-practice foundational services.
- Promote knowledge sharing and collaboration across teams and departments to strengthen the ML foundations capability.
- Operationalize divisional strategy by aligning team priorities and empowering first-line managers with clear roles and performance measures.
- Leverage professional frameworks, tools, and technologies to deliver scalable, strategic ML foundations solutions.
- Manage multiple foundational assets through strategic planning, implementation, and continuous improvement.
Essential Qualifications - NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Tertiary Qualification/ formal accreditation in STEM related field
- BSC Computer Science, BSc Engineering, Econometrics, Mathematical Statistics, Actuary Science.
- Masters or Doctorate will be an added advantage.
- Post graduate management qualification/MBA
Essential Certifications
- ITIL Talent nurturing or equivalent MMP/SMP / MM or equivalent
Minimum Experience Level
- 6 to 8 years line management 10 years IT Industry experience
Technical / Professional Knowledge
- Deep understanding of Machine Learning, Statistics, Optimization, or related fields, with a strong emphasis on feature engineering and data representation.
- Proficiency in Python (required), with experience in additional languages such as R, Scala, or Java being advantageous.
- Demonstrated experience applying machine learning foundations within the financial services sector, with a strong understanding of domain-specific data, regulatory considerations, and business drivers.
- Experience working with large-scale datasets and distributed computing tools (e.g., Spark, Ray), particularly for feature computation and transformation.
- Proven track record in delivering end-to-end ML use cases, with a focus on foundational components like feature stores and graph-based data structures.
- Ability to translate complex data concepts into business-relevant narratives and insights.
- Excellent written and verbal communication skills, with a strong ability to collaborate across cross-functional teams.
- Experience in budgeting, business administration, and strategic planning.
- Knowledge of change management and client service management principles.
- Familiarity with governance, risk, and controls, especially in the context of data and ML asset management.
- Strong stakeholder management and influencing skills.
- Experience in employee development, talent management, and workforce planning.
- Understanding of project management principles and relevant regulatory frameworks.
- Skilled in business writing, management reporting, and communication strategies.
- Familiarity with the System Development Life Cycle (SDLC), ITIL, and IT architecture.
- Experience with graph databases (e.g., Neo4j, TigerGraph) and graph analytics is a strong advantage.
- Understanding of IT asset management processes and joint application development practices.
- Ability to work within and influence complex organizational structures.
Behavioural Competencies
- Building Partnerships
- Facilitating Change
- Inspiring others
- Business Acumen
- Building partnerships
- Driving for Results
- Selecting Talent
Method of Application
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