Latest Jobs at Capitec Bank

About the role:

• As the Manager: Analytics Engineering at Capitec, you will play a pivotal role in designing and managing scalable data pipelines and ensuring efficient analytics operations to empower data-driven decision-making. Your focus will be on driving innovation in data integration and feature store development, enabling seamless collaboration between data science and BI teams.
• In this role, you will lead the creation of robust feature stores to support AI/ML model development and semantic models for enhanced analytics and reporting. You’ll ensure the alignment of data engineering solutions with analytics platforms while upholding best practices in data engineering and governance. By fostering collaboration and implementing cutting-edge solutions, you will contribute to Capitec's growth as a leader in advanced analytics and data-driven insights.

Our ideal candidate has:

• Over 5 years in data engineering or analytics engineering, including 2 years as a manager or team lead within an analytical team.
• Proficient in SQL and delivering complex analytical requirements.
• Managing senior and executive level stakeholders and influencing decision making at these levels
• Utilising data Pipelining tools such as Apache, Airflow, AWS Glue
• Data visualisation with tools such as PowerBI
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

Ideal:

• AWS experience

Competencies:

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education:

• Completed an Honors Degree or higher

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Purpose Statement

• Co-ordinate, investigate and provide timely feedback on incoming technical queries received from various departments within the contracted service level agreement.
• Oversee/implement small system and/or operational improvements resulting from user and client queries

Education (Minimum)

• A relevant tertiary qualification in Information Technology

Knowledge and Experience
Experience:

• 2+  years experience in relevant systems support, administration and/or analysis

Knowledge:
Minimum:

Basic knowledge & understanding of:

• Computer Systems (specific systems relevant to specific team)
• Any Databases experience and Query language i.e. SQL - My SQL and Microsoft SQL server

Ideal:

Working knowledge of: 

• IT systems development processes
• Experience in scripting languages e.g. Python 
• ATM Experience either from a hardware or software perspective
• Experience working with ATMs, either on the hardware or software side, would be an added advantage.
• An understanding of ATM systems and their internal workings would be ideal. From a software perspective, experience with terminal driver applications (e.g. Postilion ATM Application) would be advantageous.
• Proficiency in network protocols (TCP/IP, SFTP), and operating systems (Windows/Linux)
• ITIL Principles and the application thereof

Understanding of: 

• Banking systems
• Banking business models
• Best practices for Quality Assurance (QA)

Additional Information

• Clear criminal and credit record

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Purpose Statement
To deliver business and client value, and enhance client engagement though:

• Executing the Client Engagement strategy
• Managing the development and implementation of client engagement campaigns, programmes and prompts across the client engagement life cycle.
• Contributing subject matter insights towards the improvement of client engagement strategies.

Experience
MINIMUM:

• Principles of brand marketing
• Data analysis, client profiling and segmentation
• CRM Systems and technology
• Digital marketing and e-commerce
• Strategic marketing management
• Campaign management
• General business/commerce know how
• People management principles and practices
• Internal and external communication methods and practices
• Stakeholder management principles and practices

IDEAL:

• 5+ years marketing experience in a large, complex and client focussed organisation
• Proven experience in delivering and executing CRM strategies, systems and data
• Previous experience in managing a team

Qualifications (Minimum)

• Bachelor's Degree in Marketing or Business Management

Qualifications (Ideal or Preferred)

• A relevant post-graduate qualification in Marketing or Business Management

Knowledge
MINIMUM:

• Principles of brand marketing
• Data analysis, client profiling and segmentation
• CRM Systems and technology
• Digital marketing and e-commerce
• Strategic marketing management
• Campaign management
• General business/commerce know how
• People management principles and practices
• Internal and external communication methods and practices
• Stakeholder management principles and practices

IDEAL:

• Capitec environment and products.

Skills

• Problem solving skills
• Decision making skills
• Communications Skills
• Management skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)

Conditions of Employment

• Clear criminal and credit record

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Purpose Statement

• To perform specialised tasks, provide subject matter expertise and deliver high-quality results within the area of Anti Money Laundering (AML), Counter Terrorist Financing and Counter Proliferation Financing. To apply AML expertise effectively across the organisation when consulting with stakeholders and thereby mitigate the impact of financial crime risk to the bank and it’s clients.

Experience

• At least 8 years’ relevant AML experience (EDD, transaction monitoring etc.) within a financial / banking environment 
• AML regulatory requirement experience and proficiency  

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational
• Bachelor's Degree in Internal Auditing or Risk Management

Qualifications (Ideal or Preferred)

• A relevant tertiary qualification in Finance

Knowledge
Min:

• Legislation regarding money laundering control, combating of terrorist financing, proliferation financing, sanctions and regulatory reporting.  
• Business and commercial awareness  
• Understand ML/TF/PF and sanctions risks in a financial institution  
• Understand risk associated with business entities as clients 
• Knowledge of ML/TF/PF and sanctions risk associated with foreign exchange and cross border instruments 

Ideal:

• Knowledge of AML legislation 
• Application of technology to Fasttrack project performance 
• Understanding of business requirements and the translation to specifications to inform projects 
• Understanding of project management principles  
• Industry knowledge of AML / Financial Crime   

Skills

• Analytical Skills
• Commercial Thinking Skills
• Decision making skills
• Interpersonal & Relationship management Skills
• Problem solving skills
• Strategic Thinking Skills

Conditions of Employment

• Clear criminal and credit record

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About the Team and Role

• The Connect Technology Delivery Team forms part of a dynamic and evolving technology environment within Capitec. The team has transitioned from a primarily data-focused function into a software delivery–driven capability, responsible for designing, developing, and implementing strategic technology solutions that enable Connect’s business objectives. 
• We are seeking a Systems Analyst to contribute to the design and implementation of Connect’s new Revenue Management System. This platform plays a critical role in tracking sales, cost of sales, and revenue across multiple product lines, with integration points to third-party systems and real-time data flows serving as a source system for the broader bank. 
• The successful candidate will operate at the intersection of business and technology- translating complex business requirements into actionable, technically sound solutions. This role offers the opportunity to work closely with engineers and architects to ensure robust delivery and alignment to Connect’s technology strategy. 

What You’ll Be Doing

• Engage with business stakeholders to gather, analyse, and document system and functional requirements. 
• Translate business needs into detailed technical specifications and solution designs. 
• Collaborate with software engineering and architecture teams to design and validate system integrations and data flows. 
• Participate in the design, testing, and implementation of the new revenue management platform. 
• Support delivery teams in ensuring solutions meet business requirements, performance expectations, and compliance standards. 
• Contribute to continuous improvement through the identification of optimisation and automation opportunities. 

What We Are Looking For

• We are looking for a technically skilled and business-savvy Systems Analyst who can bridge the gap between business objectives and technical execution. The ideal candidate is analytical, detail-oriented, and comfortable working in a fast-paced, collaborative environment. 

Minimum Requirements:  

• 4–6 years of relevant experience in systems analysis or a related technical role. 
• Strong understanding of Java, Spring Boot, and Kafka (or equivalent event streaming technologies). 
• Proven experience working within AWS environments. 
• Demonstrated ability to analyse complex systems and deliver structured, high-quality documentation. 
• Strong stakeholder engagement, communication, and problem-solving skills. 

Preferred Skills:

• Experience with Infrastructure Code (IaC) and modern deployment pipelines. 
• Familiarity with Kubernetes and containerisation. 
• Prior experience or interest in transitioning from software engineering to systems analysis. 

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About The Role/Team

• Our Model Validation team is a critical function within the organisation, responsible for ensuring the accuracy, reliability, and governance of models across credit, finance, and fraud risk domains. The unit provides oversight, technical challenge, and assurance to support sound decision-making and regulatory compliance. We are seeking an experienced Data Science professional to join as a Model Validation Lead. In this role, you will provide technical expertise and leadership in the validation of advanced AI and ML models, while guiding and mentoring analysts within the team. You will be responsible for the design and execution of independent validations, the development of challenger models, and ensuring adherence to governance standards.This role requires strong technical modelling capabilities, the ability to collaborate with a wide range of stakeholders, and the professional maturity to influence outcomes in a complex and evolving environment. 

What You’ll Be Doing

• Provide subject matter expertise, oversight and guidance with regards to the technical review and validation of models used in the organisation, particularly machine learning models.  
• Ensure appropriate model governance and model risk management processes and standards are in place in order to manage model risk, improve and optimise model methodologies and usage. 
• Lead and deliver independent validations across a range of models, including credit risk, operational optimisation, financial crime, and marketing campaigns. 
• Provide technical oversight and mentorship to analysts, supporting skills development and professional growth. 
• Design and implement challenger models using advanced machine learning methods. 
• Research current and new machine learning algorithms to ensure proposed models are fit for purpose and market best practice is being followed. 
• Ensure models meet governance, regulatory, and internal risk standards. 
• Partner with model development teams and business stakeholders to provide effective challenge and assurance. 
• Contribute to the ongoing enhancement of model validation methodologies, frameworks, and best practices. 

What We Are Looking For

• Have 6+ years of proven experience in model development in the field of Data Science and ideally direct model validation or review experience.  
• Strong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced statistical or machine learning techniques. 
• Exposure to cloud platforms (AWS preferred) and emerging technologies such as large language models is desirable. 
• Demonstrated ability to mentor and guide junior analysts, identifying skills gaps and supporting development. 
• Excellent communication and stakeholder engagement skills, with the ability to work effectively across multiple teams and disciplines. 
• Able to design and deliver end-to-end on all but the most complex ML projects without supervision. 
• Data mining for use in analyses and predictive modelling.  
• Have had own model(s) reviewed and validated or directly validated models in the past.  
• Presenting and defending findings to model developers and senior management. 

Education

• Minimum: Honours Degree in Mathematics, Statistics or Data Science.
• Preferred:  Masters Degree in Mathematics, Statistics or Data Science. 

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Purpose Statement

• To manage the Business Centre in terms of driving a proactive sales and service culture that will retain and grow the Business Centre client base. 
• Responsible for driving activity, planning and implementing marketing, sales, and support services strategies for the Business Centre

Experience
Minimum:

• Banking experience of at least 5 years, of which 3 years should have been spent in the Business Banking environment.
• 3 years managerial experience
• Significant experience in preparing and motivating Credit applications 
• Budgeting, forecasting, cost control and sales management experience is essential. 
• Accountability for managing a profitable cost centre. 

Qualifications (Minimum)

• A relevant tertiary qualification in Business Management or Finance

Qualifications (Ideal or Preferred)

• Bachelor's Degree in Business Management or Finance

Knowledge
Minimum:

• Business knowledge and acumen
• Understand interdependencies between industry knowledge, business and financial risks, Business banking product knowledge, pricing and taxation (to determine feasible operating tactics for the Centre to maximise total profit and minimise loss )
• People management principles and practices  
• Financial Modelling; activity based costing, financial analysis (evaluating and identifying trends), complex cash flow cycles (industry/ sector specific) 
• Principles and practices of business economics and the current business economic environment. 
• Different industry sectors and sector risk profiles/ trends; this includes an understanding of the impact of climatic conditions on markets 
• Managing Local Market (MLM) sales principles and practices to manage and optimise retention and growth within the Centre. 
• General banking practices and procedures. 
• Knowledge of competitor product offerings/ channels/ operational and marketing tactics. 
• Credit principles and practices, including an understanding of credit application, securities and 
• Legal entities (companies, close corporations, sole proprietorships etc.) in the commercial market and the legislative restrictions and requirements governing these from a financial services perspective. 
• Financial Advisory and Intermediary Services Act (FAIS) and the Financial Intelligence Centre Act (FICA). 
• Extract and apply information to CRM (Customer relationship management) strategy 
• General understanding of how Business Banking operates, as well as understanding the business risks, industry risks and financial requirements pertaining to the business market

Ideal:

• Features, benefits and value propositions of the respective company product/service offerings. 
• Multi-level products available and pricing structures
• Current taxation laws as they apply to customers. 
• A good knowledge of administration processes and procedures pertaining to Business Banking transactions

Skills

• Communications Skills
• Analytical Skills
• Interpersonal & Relationship management Skills
• Negotiation skills
• Planning, organising and coordination skills

Conditions of Employment

• Clear criminal and credit record
• Willingness to travel nationally and internationally when required
• A valid driver's license and own vehicle is required

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About the role:

• As a Machine Learning Engineer at Capitec is pivotal in shaping and executing the bank's AI strategy. By collaborating with Data Scientists and Decision Scientists, you'll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.
• This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You’ll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models

Our ideal candidate has:

• 4+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• TensorFlow, PyTorch, Scikit-learn, XGBoost, Hugging Face, LangChain, LangGraph, MLflow, RAG, and Transformers
• Big data frameworks – Hadoop/Kafka (PySpark)
• Github experience or Git
• AWS experience: S3, Redshift, SageMaker, Bedrock, Lambda

Competencies:

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education:

• Completed an Honors Degree or higher

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Purpose Statement

• To leverage expertise in fraud operations and perform purpose-driven activities in the combat against financial crime to minimise and mitigate client and bank losses thorough investigations into card fraud, digital fraud, application fraud, and internal threats. 

Experience

• Minimum 2- 3 years’ experience in any area related to financial crimes.
• Experience of and comprehensive understanding of the South African financial/banking environment
• Familiarity with relevant legislation pertaining to fraud and banking.
• Proficiency in investigation techniques and methodologies
• Understanding of customer care and service protocols
• Familiarity of common fraud typologies and emerging trends in fraud and financial crime
• Familiarity with banking/retail/financial service provider policies, products, and procedures
• Service-oriented mindset.

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)

• A relevant tertiary qualification

Knowledge

• Understanding of the South African financial/banking environment.
• Familiarity with relevant legislation pertaining to fraud and banking.
• Understanding and proficiency in investigation techniques and methodologies.
• Understanding of customer care and service protocols.
• Familiarity of common fraud typologies and emerging trends in fraud and financial crime.
• Familiarity with banking/retail/financial service provider policies, products, and procedures.
• Service-oriented mindset.

Skills

• Attention to Detail
• Communications Skills
• Consultation skills
• Interpersonal & Relationship management Skills
• Planning, organising and coordination skills
• Problem solving skills
• Decision making skills
• Analytical Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)

Conditions of Employment

• Clear criminal and credit record

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About the role:

• As the Manager: Data Science/AI at Capitec, you will lead the bank’s AI and advanced analytics initiatives, driving innovation and enabling data-driven decision-making across the organization. Your role will focus on defining and implementing a forward-thinking AI strategy while fostering a high-performing team of data scientists to deliver impactful AI/ML solutions aligned with business objectives.
• You will be at the forefront of identifying AI-driven opportunities, overseeing the development and deployment of cutting-edge models, and ensuring alignment with ethical and compliance standards. By collaborating closely with stakeholders, you’ll help position Capitec as a leader in leveraging AI for business innovation and growth. Additionally, you’ll mentor your team to maintain high standards in AI/ML model quality and operational excellence, promoting a culture of continuous learning and data-driven innovation.

Our ideal candidate has:

• Over 5 years in AI/ML model development and deployment, including 2 years as a manager or team lead within an analytical team.
• Managing senior and executive level stakeholders and influencing decision making at these levels
• Using AI frameworks such as TensorFlow and PyTorch to deploy with whilst using Python, SQL, Pyspark
• Hands on experience integrating AI Models into applications and services
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

Ideal:

• AWS experience

Competencies:

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education:

• Completed an Honors Degree or higher

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Purpose Statement

• To lead a team of predominantly first line Agents to optimally deliver on defined operational objectives, ensure that an exceptional client experience is achieved and that all policies, regulatory requirements and clearly defined operational processes are implemented and adhered to.

Experience

• At least 2 years’ experience in a banking, retail, finance, client service environment
• Some previous people leadership exposure or experience of overseeing delivery or work
• Client service environment experience and/or function relevant experience (role specific)
• Experience of a fast moving, target driven environment with a focus on delivery and client service

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)
Knowledge

• Technical/functional knowledge relevant to the designated team, department or function 
• People management principles
• Client service principles and standards
• Customer communication, relationship management principles and practices
• Fundamental HR principles and practices 
• General operational management processes and practices

Skills

• Attention to Detail
• Communications Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills

Conditions of Employment

• Clear criminal and credit record

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Purpose Statement

• To capitalise and administrate fixed assets of the company.

Experience

• 1 - 2 years experience in accounting general ledger reconciliation
• 1 - 2 years experience in the Capex purchasing cycle

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)

• A relevant tertiary qualification in Finance or Similar

Knowledge

• General Ledger reconciliation
• Electronic banking environment
• Accounting systems and principles (Fixed Assets)

Skills

• Communications Skills
• Numerical Reasoning skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Interpersonal & Relationship management Skills

Conditions of Employment

• Clear criminal and credit record

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Purpose Statement

• To solve business problems, create new products and services, and improve processes through using the disciplines of data science, quantitative (financial) analysis, and traditional scoring techniques - translating active business data into usable strategic information.
• To look at ways of analysing and optimising data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder. 
• To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision making.
• To design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.

Education (Minimum)

• Honours Degree in Mathematics or Statistics

Education (Ideal or Preferred)

• Masters Degree in Mathematics or Statistics

Experience and Knowledge
Minimum Experience and Knowledge:

• Length of experience required is also conditional on qualifications obtained 
• Statistical (predictive and classification) model development and deployment principles and techniques; including traditional scoring (logistic regression with binning and missing value replacement, e.g., reject inference), Machine Learning (neural networks, SVM, random forests, etc.), and quantitative analysis (time value of money, etc.)
• At least one Machine Learning language (e.g., Python or SAS Viya)
• Business analysis and requirements gathering
• General business know-how (e.g., risk, compliance, operations - such as NCR, POPIA, and SARB)
• Cloud environments (e.g., Azure, AWS, and large relational databases)
• Functional business area (e.g., Credit) environment knowledge and experience
• Developing scorecards from scratch
• Underlying theory and application of machine learning models
• Best practices for decision science (such as reusability, reproducibility, continuous monitoring, etc.)

Ideal Experience and Knowledge:

• Over 5 years’ experience in an analytical science role
• Working with multiple teams to deliver predictive models into a production environment
• Financial sector
• Credit environment / industry (Credit cycle)
• Bank decision science lifecycle

Skills

• Numerical Reasoning skills
• Researching skills
• Analytical Skills
• Problem solving skills
• Decision making skills
• Planning, organising and coordination skills
• Attention to Detail
• Presentation Skills
• Interpersonal & Relationship management Skills
• Communications Skills