Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise the possibilities on our continent and beyond.
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A transformed Assurance & Risk portfolio must embrace:
- Predictive, real‑time risk intelligence,
- Integrated product and technology governance,
- Adaptive, agile oversight models,
- AI‑enabled monitoring and automation of controls,
- Stronger alignment between product, risk, compliance, and engineering functions, and
- Forward‑looking assurance practices that support innovation while protecting the organisation.
Education
- Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)
End Date: March 9, 2026
go to method of application »
End Date: March 4, 2026
Key Accountabilities
Client Service and deal origination
- To identify and originate commercial property finance opportunities from real estate clients as well as owner-occupied property financing opportunities across the Business Bank and Wealth client base
- To formulate, propose and provide tailored and innovative financing and risk management solutions to clients.
- To assist the business in growing the Commercial Property franchise through proactive origination and client engagement.
- At a senior level, to establish and maintain sustainable strategic relationships with clients
- Proactively anticipate, respond to and seek to exceed the expectations of customers.
- Establish and maintain good professional relationships with all internal and external stakeholders.
- To promote (and demonstrate) a culture of cross-selling, capital efficiency and innovation to deliver superior returns.
- To structure commercial property finance solutions.
- Drive transactions internally, including taking transactions through dealforum, credit, and other internal committees, working closely with other business/product areas, where applicable.
- To develop bespoke financial models to enable detailed credit analysis of lending transactions including development costs and property valuation.
- Manage the execution of transactions from origination to closing, acting as an integral member of the deal team.
- Assist in the preparation of the Term Sheet and Deal Documentation.
- Co-ordination of deal documentation for client signature.
- Logging of deals and client plans as appropriate on Salesforce.
- Assist with client enquiries and issue resolution.
- Keep updated on the relevant banking products and market trends, customer insights and needs by regularly engaging with customers to obtain and manage customer feedback.
- Administer the progress payment process to ensure timeous payments and to be aware of progress and quality on site.
- Provide sector thought leadership to clients and segments serviced.
Maintenance and risk management
- Ensure that all legal, regulatory and policy processes and procedures are adhered to in all transactions facilitated.
- Ensure that transactions comply in all respects with Absa's risk and compliance policies and procedures as well as legal and regulatory requirements.
- Understand and manage risks and risk events (incidents) relevant to the role, including escalation thereof.
- Drive and assist with annual credit reviews, sourcing the necessary information required.
- Manage high risk customer accounts together with the Credit, CPF Monitoring and Control teams.
- Keep abreast of sector developments, legislation and statutory requirements.
Stakeholder Management
- Build strong relationships with internal and external stakeholders.
- Develop and maintain healthy working relationships with all CPF internal support areas.
- Build excellent and pro-active relationships with the Credit team by seeking their full input into the solutioning process.
- Effectively communicate developments within areas of activity to all relevant stakeholders.
- Ensure impeccable and timeous service levels
Role / Person Specification
Education and Experience Required
- Bachelors Degree in Commerce, Accounting, Finance or CFA Charter or equivalent qualifications or experience
- Honours or equivalent would be preferable
- Minimum 5-7 years of Banking experience
- Significant exposure to commercial property finance
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End Date: March 27, 2026
Job Description
DevOps
- Contribute to all phases of the development lifecycle
- Interpret analysis, problem definition & business requirements to identify solution requirements (e.g. features)
- Produce well-organised and documented source code for technical solutions
- Apply technical organisation principles of self-service, repeatability, testability, scalability & resilience in code development
- Apply general design patterns and paradigms to deliver technical solutions
- Debug existing source code and polish feature sets.
- Work with integrated teams and other developers to improve and evolve technical products and services
- Study & apply Group Architecture & Infrastructure guidelines to all development work
- Support reviews, performance monitoring & ongoing optimization and maintenance on applications
- Stay ahead of the curve on emerging technologies and development practices and continuously evolve existing knowledge & skill in preparation for exposure to Automation, Integration, Messaging, CI/CD etc.
- Update, create and appropriately store application documentation & technical specifications
Risk & Governance
- Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents
Education
- Bachelor's Degree: Information Technology
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End Date: March 10, 2026
Accountability: Architecture
- Act as the trusted adviser to the business to help define and communicate high-level business architecture requirements, translating these into technical solution architecture designs.
- Leverage deep understanding of organizational strategy to design scalable, testable, reusable technology solutions.
- Collaborate with Product and delivery teams to analyse customer requirements.
- Leverage emotional, social & business acumen to incorporate stakeholder insights.
- Lead design thinking workshops to deliver solution blueprints & roadmaps.
- Use strong engineering background for solution design (DDD, microservices, loosely coupled integration, etc.).
- Own accountability for solution blueprint design & decisions.
- Maintain strong understanding of emerging technology & architecture principles.
- Build architectural capability across delivery teams.
- Contribute to architecture body of knowledge.
People
- Participate in Architecture Forums, peer reviews and knowledge sharing.
- Set & Cascade solution direction across technology delivery teams.
- Build & evolve architectural capability across Delivery teams.
- Support attraction, recruitment, development & retention of strong technology teams.
- Embed agile practices and support high‑performance delivery teams.
Financial & Vendor Management, Risk & Governance
- Carry accountability for risk associated with solution design.
- Apply organizational risk & governance frameworks.
- Ensure alignment to Group guidelines and sustainability.
- Engage chapter & guild leads using enterprise‑wide principles.
- Ensure alignment to regulatory requirements and maintain updated regulatory knowledge.
- Deliver on time & on budget.
Education and Experience Required
- BSc in Engineering or Computer Science
- BBA, MBA advantageous
- 8+ years Solution Architecture experience
- 8+ years hands-on engineering experience
- 5 years senior leadership experience, ability to lead domains, guide teams, and own strategic decisions. Maturity in influencing, coaching, and driving design governance required
- Hands on customer-facing disciplines, ability to translate business problems into architecture with a customer first approach
- Agile delivery disciplines
- T-shaped expertise across delivery & banking business domains
- Proven track record implementing complex architectures with deep engineering background
- Practical understanding & experience in Design Thinking, Jobs to be Done, Customer Journeys, Experience Design, CEM
- Strong interpersonal skills, ability to engage with technologists and senior stakeholders
Education
- Bachelor's Degree: Information Technology
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Job Description
- Portfolio Management: Ensure appropriate management of respective portfolios that includes but not limited to client visits and engagement, portfolio performance management, reporting and executing of client requirements
- Business Development: Agree financial targets/new business targets and set out tactical plans to achieve this on an annual basis
- Risk Management: Ensure that portfolio meets the required risk management standards
- People Management: Coach, mentor and manage team members toward driving business objectives and ensuring colleague development (where applicable)
Education
- Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required
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End Date: March 9, 2026
Your additional Key Responsibilities will include the following:
- Defining and implementing the CIB Digital & Technology Fraud Strategy, aligned to enterprise financial crime frameworks and risk appetite.
- Anticipating and responding to emerging fraud typologies, including platform abuse, account compromise, payment manipulation, identity fraud, and technology-assisted insider fraud.
- Ensuring fraud risk considerations are embedded into digital transformation and product innovation initiatives.
- Lead fraud threat intelligence, including monitoring of internal trends, external intelligence, and industry threat sharing.
- Oversee the design and effectiveness of fraud detection and prevention controls across digital channels, payment systems, trading platforms, and internal systems
- Establish robust fraud governance, policies, and standards related to digital and technology threats
- Oversee fraud risks arising from third-party service providers, fintech partnerships, cloud platforms, and outsourced services.
- Partner closely with CIB Technology, Digital, Payments, Markets, Operations, and Product teams to balance fraud risk and client experience.
- Build and lead a specialist Digital & Technology Fraud team with skills in analytics, threat intelligence, and investigation.
Send in your CV if you have the required experience as well as meet the below criteria;
- A B Degree in Risk Management, Information Systems, Data Science, or a PostGrad preferably
- Relevant certifications (e.g., CAMS, CISSP, CGERT, or equivalent).
- 10+ years’ experience in fraud risk, financial crime, or technology-enabled fraud, preferably within corporate, investment, or wholesale banking.
- Proven leadership experience managing complex fraud risk environments across digital platforms and payment systems.
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End Date: March 4, 2026
Core Responsibilities:
- Develop, maintain, and optimize Kafka-based applications and event streaming pipelines using Java(Spring / Spring Boot), Python, or .NET.
- Work with distributed systems concepts: partitions, replication, fault-tolerance, scaling, and event-driven architectures.
- Contribute to provisioning, managing, and securing Kafka clusters both on-prem and in Confluent Cloud.
- Implement and maintain security and authorization mechanisms, including ACLs, Kerberos, SSL, and OAuth for Confluent Cloud.
- Automate infrastructure deployment and configuration using Terraform, Ansible, CloudFormation, Docker, or Kubernetes.
- Configure, monitor, and maintain observability for Kafka clusters, including metrics, alerts, and dashboards (e.g., Prometheus, Grafana, Confluent Control Center, ElasticSearch).
- Assist in troubleshooting production issues and perform root cause analysis.
- Collaborate closely with developers, DevOps/SRE teams, and other stakeholders to ensure reliable and performant streaming systems.
- Contribute to best practices for connector configuration, high availability, disaster recovery, and performance tuning, including streaming applications and pipelines built with Kafka Streams, ksqlDB, Apache Flink, and TableFlow.
Required Skills:
- Strong programming experience in Java(Spring / Spring Boot), Python, or .NET. Ability to write clean, maintainable, and performant code.
- Solid understanding of distributed systems principles and event-driven architectures.
- Hands-on experience with Kafka in production or strong ability to learn quickly.
- Knowledge of Kafka ecosystem components (Connect, Schema Registry, KSQL, MirrorMaker, Control Center, Kafka Streams, Apache Flink, TableFlow) is a plus.
- Familiarity with security best practices for Kafka, including ACLs, Kerberos, SSL, and OAuth.
- Experience with infrastructure as code and containerized environments.
- Experience with monitoring and observability tools for distributed systems.
Education
- Bachelor's Degree: Information Technology
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Job Description
- Managing Others: Take responsibility for the effective management of others Business Management: To provide specialist advice and support in assisting to manage and deliver on business initiatives
- Ensure that timelines are met: Manage team in such a way that deadlines are met Dealing with Stakeholders: Taking responsibility for managing the expectations of stakeholders
Education
- Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)
go to method of application »
End Date: March 14, 2026
Key Responsibilities
Audit Execution and Delivery
- Ensure timely delivery of assigned tasks in accordance with agreed project timelines.
- Perform risk-based audits across financial risks, including planning, scoping (identifying key risks and controls), fieldwork, and reporting.
- Prepare audit observations that are concise, factually accurate, and clearly identify root causes and risks. Ensure agreed management actions fully mitigate identified issues.
- Evaluate the effectiveness of risk management practices, as pertains to the specific financial risk type under review.
- Assess compliance with regulatory and internal policy requirements (e.g., IFRS 9, Basel, National Credit Act etc as applicable).
- Utilize data analytics to inform audit testing strategies and obtain deeper insights into control effectiveness.
- Ensure delivery is aligned with internal audit methodology and quality standards.
Relationship and Portfolio Management
- Engage with stakeholders across the 1st and 2nd lines of defense.
- Conduct ongoing business monitoring and maintain a strong understanding of key issues and trends to inform audit planning and continuous risk assessment.
- Contribute to the Combined Assurance effort by collaborating with other assurance providers across the 3 Lines of Defense to strengthen the control environment.
- Provide clear input into risk and governance committee reporting, highlighting emerging risks and control gaps.
Skills and Experience
- Strong understanding of credit risk management practices and processes across the credit risk lifecycle.
- Experience in performing internal audits or risk reviews within a financial institution.
- Working knowledge of regulatory frameworks applicable to financial risk types (e.g., Basel II/III, IFRS 9, NCR etc).
- Proficient in data analysis and able to work with data specialists to design effective audit tests.
- Excellent written and verbal communication skills; able to present complex issues clearly to senior stakeholders.
- Strong time management, organizational, and stakeholder engagement skills.
- Independent thinker with strong professional judgment and attention to detail.
Education and Experience
- A minimum of 2-4 years’ experience in internal audit, retail credit risk, credit policy, or credit analytics.
- Demonstrated exposure to financial risk types and the associated risk management frameworks.
- Proficiency in data analysis tools such as SAS, SQL, and Excel; experience with risk models will be considered an added advantage.
- Bachelor’s degree in Risk Management, Actuarial Science, Statistics, or a related field is required.
- An Honours degree in Risk Management will be regarded as a distinct advantage.
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End Date: March 13, 2026
Job Description
- Drive Financial Targets: Maintain primary ownership of a portfolio of Growth Account clients, differentiated by the level of complexity of the client base
- Relationship and Service Management: Actively develop strong client relationships. Conduct regular client visits in accordance with the Commercial Growth Account Value Proposition and initiate changes to ABB Product by providing input into product development to better service our clients
- Manage Risk Assessment: Adhere to the bank's policies and procedures and ensure compliance. Take ultimate ownership of the portfolio's risk management by ensuring a good understanding of both the Bank's and the clients regulatory and compliance environments.
- Collaboration: Constantly seek to improve ways of working by challenging the status quo and supporting an empowering climate within the team, sharing knowledge, experience, best practice and providing constructive feedback as required.
Education
- Bachelors Degree and Professional Qualifications: Business, Commerce and Management Studies (Required)
go to method of application »
End Date: March 10, 2026
Job Description
- Participate in design thinking processes tdetermine & confirm hypotheses and priority questions / data challenges & related metrics tbe solved for
- Translate business questions tbe solved intdata requirements & define a data solutions tdeliver against these requirements
- Proactively partner with the data engineering team trefine the data requirements deliver raw data tData Science teams for interpretation & analysis
- Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines tachieve the desired business outcomes
- Use advanced data science skills tmine & interpret data. These include but are not limited to: advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, distributed computing, machine learning tools & data intuition
- Analyze & interpret complex data sets
- Apply quality assurance frameworks ttest model & analysis techniques (e.g. algorithms, models) & overall data quality
- Apply the testing frameworks tmonitor and analyse model performance & data integrity on all data assignments
- Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g. Databricks, Python, Hadoop, Apache Spark
- Use storytelling and data visualization techniques tmaximize impact & deliver a user friendly product tbusiness
- Contribute tthe consolidation of data solutions intviable end products (in the language of business) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
- Present data analysis (trends, insights, forecasts) & findings tbusiness & show tangible business impact tbe derived from the data science process
- Facilitate peer reviews & feedback on data solutions
- Refine data analysis based on business & peer reviews
- Contribute tthe assessments of the effectiveness and accuracy of new data sources & data gathering techniques
- Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the the data solutions provided
- Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation tadvanced methods for the continuous optimization of data
- Develop and retain models on customer behavior, retention and segmentation
- Build algorithms and design experiments tmerge, manage, interrogate and extract data tsupply tailored reports tcolleagues, customers or the wider organization
- Use machine learning tools and statistical techniques tproduce solutions tproblems
- Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
- Conduct research from which you'll develop prototypes and proof of concepts
- Look for opportunities tuse insights/datasets/code/models across other functions in the organisation
- Stay curious and enthusiastic about using algorithms tsolve problems and enthuse others tsee the benefit of your work.
- Development of standardised modelling of behaviour/retention/value in customers
- Maintenance of dictionaries: codes, dimensions, setting up tables etc
- Run and compare models on a regular basis
- Run Cluster specific scenarios tcover specific local issues
- Business process maintenance (segmentation, primacy etc)
- Produce appropriate documentation and training material tenable handover ta BAU team.
- KVD Predictions
- Using and deriving value from implemented models
Accountability: Risk & Governance
- Identify data risks and mitigate these (pre, during & post solution deployment / data delivery)
- Create business cases & solution specifications for various governance processes (if required)
- Apply data quality assurance frameworks and tools tguarantee data quality & data integrity (always) for specific data solutions
- Contribute trisk, governance, compliance & broader regulatory processes as a data science expert (if & when required)
- Accountability: People
- Coach & mentor other data scientists
- Conduct peer reviews, testing, problem solving within and across the broader team
The following degrees and/or subjects may be particularly useful:
- Data science
- Industrial engineering
- Mathematics
- Statistics
- Actuarial science
- Business mathematics and informatics
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Key Accountabilities
Data Analytics & Insights
- Develop and implement data analytics frameworks to identify, quantify, and monitor fraud risk trends across Business Banking products and digital platforms.
- Produce actionable fraud insights, dashboards, and MI for senior management and fraud committees.
- Conduct deep-dive root-cause and loss analytics to support strategic decision-making.
- Partner with Fraud Operations to identify control weaknesses and recommend data-informed improvements.
- Design and maintain data models to track key metrics such as fraud losses, recovery rates, and prevention ROI.
Advanced Analytics & Modelling
- Apply predictive analytics and machine learning to detect anomalous behaviour, identify emerging fraud threats, and enhance early-warning systems.
- Collaborate with data science teams to develop, test, and calibrate fraud risk models.
- Evaluate performance of existing rules and models, ensuring optimal detection vs. false-positive rates.
- Support digital and product teams with data-driven fraud control design for new initiatives.
Fraud Intelligence & Reporting
- Manage end-to-end fraud data collection, validation, and integrity across systems.
- Build automated fraud reporting pipelines (Power BI, Tableau, or other visualization tools).
- Translate complex data into clear narratives and visual storytelling for business and executive audiences.
- Contribute to monthly, quarterly, and ad hoc fraud performance reports to committees and regulators.
Collaboration & Stakeholder Management
- Partner with internal stakeholders (Fraud Strategy, Fraud Operations, Business Banking Product Heads, Data & Analytics teams) to ensure a unified data approach.
- Support governance and risk functions with fraud data for audits, risk assessments, and regulatory submissions.
- Build strong relationships with Group Data, IT, and Cyber teams to align on data standards and security.
Continuous Improvement
- Stay current with industry trends, analytics techniques, and fraud typologies.
- Lead or participate in data innovation projects – e.g., behavioural biometrics, network analytics, or AI-driven detection.
- Mentor analysts and develop the team’s analytical capability.
- Contribute to the strategic fraud roadmap by identifying new opportunities for data-led efficiencies.
Preferred Education
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or Risk Management.
- Postgraduate qualification (MSc, MBA, or equivalent) advantageous.
- CFE (Certified Fraud Examiner) advantageous
- Data Analytics Certifications (SAS, SQL, Python, R, Power BI)
- Machine Learning or AI certifications (AWS, Google, Microsoft)
Preferred Experience
- 7–10 years’ experience in data analytics, business intelligence, or fraud analytics (preferably in financial services or business banking).
- Proven track record in data modelling, dashboard design, and analytical problem-solving.
- Exposure to fraud risk management frameworks, digital banking, and payments ecosystems.
- Experience using big data environments (e.g., Hadoop, Spark, Databricks) and cloud analytics platforms.
Method of Application
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