Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month.
To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe in ...
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Main Purpose
- We are seeking an experienced and analytical Risk Specialist to become part of our Risk Management team, with a primary focus on Asset & Liability Management (ALM). The role involves identifying, measuring, monitoring, and reporting on liquidity risk, interest rate risk, and funding strategies to ensure compliance with regulatory requirements and alignment with the bank’s risk appetite. You will provide quantitative expertise by developing and maintaining models, as well as delivering forward-looking insights into balance sheet risks.
As Risk Specialist your primary responsibilities will include:
- Develop and maintain ALM frameworks, policies, and procedures.
- Oversight of Liquidity Risk and Interest Rate Risk in the Banking Book
- ALM modelling and generating insights
- Perform stress testing and scenario analysis to assess financial resilience.
- Collaborate with Treasury, Finance, and Risk teams to optimize funding and capital strategies.
- Prepare ALM reports for senior management and regulatory bodies.
- Support ICAAP processes and contribute to regulatory submissions.
The ideal candidate will have:
- Minimum 4 years’ experience working in a banking environment, specifically in treasury risk or balance sheet management
- Prior exposure to ALM (Asset and Liability Management) functions
- Strong background in Liquidity Risk and Interest Rate Risk in the Banking Book (IRRBB)
- Quantitative experience, including developing or maintaining models and providing forward-looking forecasts of balance sheet risks
- A complete relevant degree
Technical competencies
- Financial and statistical modelling
- Risk management and regulatory compliance
- Data analysis and automation
- Project management and stakeholder engagement
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About the role:
- This team drives Capitec’s digital banking capabilities for business clients, focusing on app and online banking solutions within the business bank stack an architecture like the retail bank stack but tailored for business needs. The role centers on back-end development, where engineers build and maintain robust, scalable systems that power digital panels and ensure seamless client experiences. As a Back-End Software Engineer III, you’ll be integral to the full software development lifecycle from design and development to deployment and maintenance enhancing complex systems for performance and reliability. You’ll also play a key role in mentoring developers and collaborating with stakeholders to solve engineering challenges and improve existing products.
Our ideal candidate has:
- Grade 12 National Certificate (Minimum)
- A relevant tertiary qualification in Information Technology (Preferred)
- 6+ years’ proven experience in back-end software development, project delivery and implementation (in relevant development technologies/language). Experience with back-end frameworks and technologies
Tech Stack and Knowledge
- Java
- Springboot
- AWS
- PostgreSQL
- Kafka
Strong Understanding
- Java and Spring boot expertise
- Strong understanding of core Java concepts and design patterns.
- Developing and maintaining robust and scalable applications with Java and Spring boot.
- RESTful APIs design
System design and architecture
- Ability to design and implement scalable, high performance and secure software solutions.
- SOLID principles *
Database skills
- Strong proficiency in working with relational databases and/or NoSQL databases, including query optimization and data modelling.
Message-driven architecture
- Familiarity with tools like Kafka or RabbitMQ for asynchronous communication
Cloud and containerization
- Familiarity with cloud platforms (e.g. AWS) and containerization tools like Docker and Kubernetes for deployment and scalability
DevOps and CI/CD
- Experience with CI/CD pipelines, build tools and potentially workflow tools like Github.
Skills:
- Analytical Skills
- Leadership and Mentorship
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
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About The Role/Team
- We’re on the lookout for a seasoned Data Engineer to join our Platform Engineering team - a team that’s shaping the future of how data flows across the organisation. In this role, you’ll design and implement robust, scalable data pipelines and solutions within our AWS environment, playing a key role in how data is ingested, transformed, and delivered to power insights and decision-making across the business.
- You’ll be joining a high-impact, purpose-driven team at the heart of Client Engagement Delivery, helping to drive personalised, data-led communication across one of South Africa’s most trusted banks.
- As part of the Data team, you’ll work alongside the Systems & Platform team to ensure the right data is in place to support intelligent, scalable client engagement strategies. This team owns the product line schema that underpins all communications across the bank and plays a crucial role in enabling the Salesforce platform used by the Client Operations team.
- From building the data infrastructure behind millions of client interactions to empowering seamless, client-first journeys - your work will have a real, measurable impact.
- If you're passionate about making data meaningful and enabling world-class engagement at scale - we’d love to hear from you
What We Are Looking For
Must-Haves:
- 5+ years in data engineering or a related field.
- Strong proficiency in SQL, Python, and version control tools (e.g., Git).
- Hands-on experience with AWS and cloud-native data architecture.
- Proven ability to design and manage data pipelines and data modelling.
- Ability to work independently and drive initiatives forward.
Nice-to-Haves:
- Experience with Salesforce Data Cloud or Salesforce Marketing Cloud.
- Exposure to vendor data integration and file-based processing.
What Will You Be Doing
- Designing, building, and maintaining data pipelines in a cloud-native AWS environment.
- Developing and optimizing stored procedures and data streams.
- Integrate data from various sources (e.g., APIs, databases, flat files) into data warehouses or data lakes.
- Mapping and integrating external vendor data into our ecosystem.
- Contribute to the design and architecture of end-to-end data platforms, ensuring alignment with business needs and tech standards
- Conducting peer reviews and maintaining version control best practices.
- Collaborating with cross-functional teams on data architecture, modelling, and ingestion strategies.
- Providing technical guidance and mentorship to junior engineers.
- Ensuring quality, performance, and scalability of data solutions.
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Purpose Statement
- The Product Head is accountable for product ownership, translating strategic direction into world-class products through effective team leadership.
- The Product Head – BB Secured Credit is responsible for overseeing the strategic leadership, product development, delivery, and lifecycle management of Business Bank’s bank’s Secured Credit portfolio through its products (VAF, Property, Specialised loans etc), loan management workflow, and collateral capability. The position requires knowledge of secured lending markets, regulatory frameworks, and customer segments in Business , and commercial banking.
- dd definition of Secured Credit – all secured products (e.g. VAF and Property) as well as the intuitive workflow capabilities and product lifecycle management associated with secured credit
*NB. In the context of the operating model, a ‘product’ could be a product (e.g. Live Better) a channel (e.g. the App), a platform (e.g. Bancs) or a capability.
Education (Minimum)
Education (Ideal or Preferred)
Knowledge and Experience
Minimum:
Knowledge:
- Strong understanding of secured lending markets, regulatory frameworks, and customer segments in Business and Commercial Banking.
- Familiarity with credit risk, collateral processes, and product lifecycle management.
Skills:
- Ability to define and execute product strategy aligned to business objectives.
- Strong leadership and stakeholder management skills.
- Systems thinking and architectural literacy for guiding design and build decisions.
Experience Required:
- 8–12 years in secured lending product management, ideally within retail or business banking.
Proven track record in:
- Leading cross-functional teams (product, engineering, delivery).
- Delivering large-scale lending products or platforms.
- Demonstrable experience in:
- Product strategy, development, and lifecycle management.
- Managing credit risk appetite, pricing models, and product profitability.
- Driving digital transformation and automation in lending journeys.
- Exposure to vendor management, budgeting, and financial reporting for product delivery.
Skills
- Commercial Thinking Skills
- Decision making skills
- Interpersonal & Relationship management Skills
- Problem solving skills
- Strategic Thinking Skills
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About the Role
- We are seeking a skilled Systems Analyst to join our Forex Technology team. In this role, you will be responsible for providing technical and functional support across multiple Forex systems, ensuring reliability, scalability, and compliance within a highly regulated environment.
- You will act as the liaison between business and technology teams, manage incident responses, support integrations, and contribute to continuous system improvement. This role offers exposure to modern cloud technologies, complex financial processes, and the opportunity to make a tangible impact within the bank’s international payments ecosystem.
What You’ll Be Doing
- Provide end-to-end technical support and maintenance for Forex systems and integrations.
- Monitor system performance, manage alerts, and coordinate responses to incidents and outages.
- Support the automation of forex processes.
- Ensure compliance with cloud, risk, and regulatory standards.
- Collaborate with internal developers, business stakeholders, and external vendors on system enhancements and technical upgrades.
- Optimise cloud cost management and oversee platform stability in AWS environments.
- Contribute to process improvement initiatives and automation opportunities across the ecosystem.
What We Are Looking For
Essential Skills and Experience:
- Minimum 4–6 years of experience as a Systems Analyst or similar technical role, preferably within banking or financial services.
- Demonstrated experience with AWS cloud technologies.
- Proficiency in SQL and Linux.
- Strong analytical, troubleshooting, and problem-solving abilities.
Advantageous Skills:
- Familiarity with GitHub, EKS / Kubernetes, Terraform, and Helm.
- Exposure APIs, system integration, and automation tools.
- Experience supporting Forex or international payment systems.
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Purpose Statement
- To develop and design solutions that the ensures effectiveness of implementation as well as continuous improvement for business and/or existing applications solutions by collaborating with stakeholders from the business, Technology and Product teams.This includes the end-to-end support of operational processes, facilitating the change management and post production support in the operational environment.
Education (Minimum)
- A relevant tertiary qualification in Business Analysis
Education (Ideal or Preferred)
- A relevant tertiary qualification in Engineering - Industrial
Knowledge and Experience
Minimum:
- 2 - 4 years working experience in various business analysis knowledge areas, working independently on small assignments or on larger assignments under supervision.
- Internal: Completion of BA School of Learning Level 2
- Business and data analysis
- Understanding of business process and translating requirements into business processes, context diagrams, visual explanations, etc.
- Functional and business process design
- Communication and translation of information across business and technical environments (Interface between business and Technology)
- Design of evidence-based best practice solutions
- Stakeholder engagement and collaboration
- Project Management principles and relevant development lifecycle experience
- Agile development lifecycle principles and experience
- Understanding of systems and the Systems Development Life Cycle (SDLC)
Ideal:
- Banking Industry Knowledge
- Amazon Connet
- PowerBI
- Visio / Draw I.O
- Saleforce
Skills
- Analytical Skills
- Problem solving skills
- Communications Skills
- Facilitation Skills
- Interpersonal & Relationship management Skills
- Negotiation skills
- Planning, organising and coordination skills
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Purpose Statement
- As a Business Intelligence Analyst You’ll work with large, complex datasets, transforming data into clear,actionable insights that support strategic priorities. This is a hands-on, technical role requiring strong dataskills, and the ability to work independently while driving projects from concept to delivery.
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Statistics
Knowledge and Experience
Minimum
Experience:
- At least 3 years’ experience as Business Intelligence Analyst or equivalent (data analyst etc.) including experience in data analytics, BI methods and tools, data warehousing and the data life cycle.
- Experience in identifying, quantifying, and subsequently delivering value on how to solve business challenges using data
- Experience with stakeholder engagement
- Experience in working with data on cloud platforms, such as AWS or Microsoft Azure
- Experience in building data visualisations using tools such as Power BI
- Experience of using SQL to prepare and analyse data
- Experience with Saleforce
Knowledge:
- Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker
- Design thinking
- Dimensional Modelling
- The Data Product Life Cycle (DPLC)
- Knowledge of data privacy and security regulations and best practices
- Knowledge and understanding of data quality and incident management
- Knowledge and experience of agile project management methodology
Ideal:
- Previous experience working in business analysis in the banking sector
- Knowledge of change management principles and practices
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About The Role/Team
- The Model Validation team provides assurance on the accuracy, robustness, and governance of models across Capitec. The unit plays a central role in supporting sound risk management, financial decision-making, and regulatory compliance. Our work spans a variety of domains, including credit risk, finance, capital modelling, and fraud detection. The team collaborates closely with modelling and business units, offering technical challenge and validation expertise to ensure models remain fit-for-purpose in an evolving environment.
- We are seeking a skilled professional to join our team as a Model Validation Analyst (Decision Science). In this role, you’ll work on end-to-end model validations across different domains, take ownership of key deliverables, and build challenger models to ensure accuracy, reliability, and compliance of the bank’s models.
What We Are Looking For
- Proven 3-6 years’ experience in scorecard building, including developing, validating, and monitoring scorecards for credit risk application/behaviour models or marketing purposes. This experience will be used in the role to challenge models presented to the team and to build challenger models.
- Experience with data mining used for analyses and predictive modelling.
- Full understanding of the credit lifecycle.
- Strong analytical ability, with attention to detail and the ability to work across multiple model types.
- A collaborative mindset with the ability to engage effectively across technical and business teams.
Education
- Minimum: Degree in Mathematics, Statistics, Actuarial Science or Data Science.
- Ideal or Preferred: Honours Degree in Data Science, Statistics, Mathematics or Actuarial Science.
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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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About The Role/Team
- The Model Validation team provides assurance on the accuracy, robustness, and governance of models across Capitec. The unit plays a central role in supporting sound risk management, financial decision-making, and regulatory compliance. Our work spans a variety of domains, including credit risk, finance, capital modelling, and fraud detection. The team collaborates closely with modelling and business units, offering technical challenge and validation expertise to ensure models remain fit-for-purpose in an evolving environment. We are seeking a skilled professional to join our team as a Model Validation Analyst. In this role, you’ll work on end-to-end model validations across different domains, take ownership of key deliverables, and build challenger models to ensure accuracy, reliability, and compliance of the bank’s models.
What We Are Looking For
- Proven 3-6 years’ experience in financial modelling (Forecasting and Stress Testing models), particularly in pricing, capital modelling, or IFRS 9 provisions.
- Strong analytical ability, with attention to detail and the ability to work across multiple model types.
- A collaborative mindset with the ability to engage effectively across technical and business teams.
Education
- Minimum: Degree in Mathematics, Statistics or Actuarial Science.
- Ideal or Preferred: Honours Degree in Data Science, Statistics, Mathematics or Actuarial Science.
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Purpose Statement
- Under general supervision, performs assignments of actuarial-related duties such as preparing, performing and analysing actuarial research and audits.
- Other duties include collecting data from various databases and performing standard mathematical calculations.
Education (Minimum)
- Bachelor's Degree in Statistics or Mathematics
Education (Ideal or Preferred)
- Honours Degree in Statistics or Mathematics
Knowledge and Experience
Minimum:
Knowledge
- Actuarial principles, standards, tools, systems, models and methodologies
- Knowledge of the Life Insurance industry and landscape
- Some IFRS 17 knowledge
- Coding on FIS Prophet or other actuarial/statistical modelling software.
- Nearly qualified Actuary: Good progress with Actuarial exams, maximum of four exams remaining.
Ideal:
Knowledge ·
- Relevant knowledge of valuations/reporting and/or capital management · Business case conceptualisation, principles and compilation · Experience analysis and decrement table construction · Governance and risk management principles. · Nearly qualified Actuary: Good progress with Actuarial exams, maximum of one exam remaining.
Experience
- Min one years’ actuarial experience in the life insurance industry including valuation, reporting and or capital management.
- Minimum of 3 years experience
- Experience with IFRS17.
- Experience with Prophet or other actuarial modelling software.
Ideal:
- Experience · 3+ years actuarial experience in the life insurance industry including valuation, reporting and or capital management. · Experience with working in a team with multiple deliverables. · Experience in working with data visualisation technologies (Power BI, etc.)
Skills
- Analytical Skills
- Attention to Detail
- Numerical Reasoning skills
- Planning, organising and coordination skills
- Reporting Skills
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Main Purpose
- If you’re passionate about combating financial crime and enjoy harnessing the power of technology, this role will let you make a real impact. As a specialist in Anti Money Laundering (AML), Client Risk Assessment, you’ll leverage your expertise to deliver innovative solutions and high-quality results that protect the bank and its clients. By collaborating with teams across the organization, you’ll help shape the future of financial crime prevention. This is your opportunity to tackle the challenges of financial crime head-on while using cutting-edge tools and your specialist knowledge to make a meaningful difference every day.
Specialist: Anti-Money Laundering (Client Risk) your primary responsibilities will include:
Develop and Maintain AML Standards:
- Take responsibility for designing, implementing, and continuously improving the organisation’s anti-money laundering (AML) standards, frameworks, and best practices to ensure robust financial crime prevention across all business areas.
Provide Specialist Oversight and Support:
- Offer expert oversight and guidance to enhance the effectiveness of the AML and Financial Crime framework, including reporting, monitoring, control measures, process optimisation, and the successful delivery of AML-related projects.
Risk Advocacy and Industry Engagement:
- Represent the organisation as a risk specialist by contributing insights at industry forums and regulatory meetings, and by supporting governance and risk management initiatives that shape the wider approach to financial crime prevention.
Specific responsibilities relevant to Client Risk Assessment:
Research & Analysis:
- Conduct deep-dive research and maintain expert-level knowledge of local (FICA) and global (FATF) regulations pertaining to client risk assessment and customer due diligence.
- Analyse the impact of regulatory changes on the bank's existing CRA methodology, models, and supporting technologies.
- Stay abreast of industry best practices, emerging risks, and new technologies (e.g., Machine Learning/AI) in the client risk management space.
Model and Methodology Development:
- Design, develop, and continuously enhance the bank's client risk assessment methodology and scoring models.
- Define risk factors, weightings, and scoring logic based on empirical data, regulatory requirements, and the bank's risk appetite.
- Work with data analytics teams to perform model validation, tuning, and ongoing performance monitoring to ensure model effectiveness.
Stakeholder Management and Governance:
- Engage with stakeholders across Compliance, Business Units, Technology, and Operations to ensure alignment on the CRA framework and its implementation.
- Prepare and present findings, recommendations, and project updates to senior management and governance committees.
- Develop and maintain comprehensive documentation for the CRA methodology, models, and related processes.
The ideal candidate will have:
- Analytical or engineering background with experience as a process engineer, especially in the financial crime environment.
- 2-3 years of relevant experience
- Experience in efficiency monitoring, modeling, and optimizing complex systems with multiple stakeholders
- Proven experience in translating complex business and regulatory requirements into functional specifications for technology teams
- Experience with data analysis and a strong understanding of statistical modelling concepts is essential.
- Strong understanding of risk modelling frameworks and the model development lifecycle.
- Familiarity with data query and analysis tools (e.g., SQL, Python, R) is a significant plus
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About the role:
- As a Lead Data Scientist (Retail Credit), your purpose is to own and advance Capitec’s highest materiality client exposure models, the intelligence that identifies salary deposits with near perfect precision and drives credit eligibility and downstream treatments in both batch and real time (branch side) pathways. You’ll combine deep research with production pragmatism to evolve our sequence-type deep learning neural network models, ensuring they remain accurate, explainable, and robust under heavy load and tight SLAs. You’ll shape the analytics behind our enterprise “10 minute flow” (3 screen journey), turning complex data into simple, trusted decisions for clients and bankers alike.
- The role spans the full ML and Data Science lifecycles and the people leadership required to execute it well. You will lead a squad of Data Scientists, stewarding model design, feature governance, Model Risk Management grade documentation, approvals, deployment, and continuous monitoring. You’ll partner daily with RCED, delivery teams, and Branch Ops, to keep batch runs and real time scoring healthy, documented, and continually improved. With recent platform migrations, you’ll guide the team as deployments are detangled from platform engineering and stabilised as services the squad fully owns, freeing focus for pay date intelligence, collections strategies, and a client level view that compounds value over time.
Our ideal candidate has:
- 7+ years building and running high stakes ML models in production (financial services or adjacent), with clear impact on credit exposure or client treatment.
- Demonstrable mastery of sequence-type deep learning neural networks; comfortable balancing accuracy, explainability, and control.
- Hands on ownership of batch and real time scoring.
- Fluency in Python/SQL, model packaging and service exposure; experience with AWS (SageMaker, Kubernetes, or equivalent cloud), Git/GitHub, and collaborative documentation (Confluence).
- Proven leadership of 4–5 DS/MLEs, establishing code/review standards, mentoring, and elevating research & engineering practice.
- Stakeholder management across RCED, Delivery, Branch Ops, and governance forums.
- Model Risk Management mindset: rigorous documentation, approval pathways, monitoring and retraining.
- Have the ability to articulate where and why a model is used, what happens if it drifts and what the risk to clients and the Bank are
Ideal:
- Experience with pay date models, Next Best Action, or collections; prior exposure to Documents Exchange (multi bank statements) and strategies for timely retraining when external data shifts.
Competencies:
- Strategic thinking
- Leadership ability
- Problem solving skills
- Decision making skills
- Researching skills
- Project Management skills
- Planning, organising and coordination skills
Education:
- Completed a master’s degree or higher
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Purpose Statement
- To assist the bank in meeting its regulatory obligations in relation to compliance with the Tax Adminitration Ac and related domestic and international tax regulations, in so far as it pertains to requirements under the Foreign Account Tax Compliance Act (FATCA) and the Common Reporting Standards (CRS), toensure that business processes are performed within the relevant statutory requirements.
Experience
Minimum:
- Minimum 5 years of experience in FATCA/CRS compliance, preferably in financial services or banking.
- Excellent analytical, organizational, and communication skills.
Ideal:
- Holding responsibility for oversight of a Tax Risk Programme, including FATCA/CRS
- Experience of financial services and banking products and services.
Qualifications (Minimum)
- Bachelor's Degree in Law
- Admitted Attorney
Qualifications (Ideal or Preferred)
- Honours Degree in Law
- Relevant Certification from the Compliance Institute of Southern Africa
Knowledge
Minimum:
- Stakeholder management at all levels and up to Exco
- Holding responsibility for oversight of legislation relating to financial services
- Strong understanding of international tax reporting standards and regulatory frameworks
- Risk Management experience
Ideal:
- Deep understanding and prior experience in implementation and management of a Tax Risk Programme
- Business acumen and business practices and processes, specifically relating to FATCA/CRS
- Ability to explain complex regulations clearly
Skills
- Project Management Skills (Methodolgy Specific)
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Interpersonal & Relationship management Skills
- Planning, organising and coordination skills
- Problem solving skills
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Purpose Statement
- To embed, optimise and maintain the accuracy of complex pricing or financial frameworks and all related models through:
- Assuming full ownership for the design, development, testing, implementation and maintenance of complex existing and new pricing or financial models for a business function/area
Experience
Minimum:
- Honours Degree with 4 - 6 years’ experience in an analytical capacity, working in a dynamic, mathematically complex environment – focusing on financial modelling.
- OR Masters Degree with 3 – 5 years’ experience in an analytical capacity, working in a dynamic, mathematically complex environment – focusing on financial modelling.
Ideal:
Qualifications (Minimum)
- Honours Degree in Mathematics or Statistics
Qualifications (Ideal or Preferred)
- Masters Degree in Mathematics or Statistics
Knowledge
Minimum:
- Forecasting / budgeting
- Advanced statistical analysis
- Advanced financial mathematics
- Function / business specific principles (for example, credit pricing or provisioning)
- Relevant legislation and regulatory frameworks (for example, Basel, IFRS 9)
- Impact of the economic, operating and regulatory environment on financial and pricing strategies
Ideal:
- Monitoring / measuring framework development and execution.
- Credit pricing or provisioning principles, standards, methodologies, frameworks and best practices.
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Numerical Reasoning skills
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Purpose Statement
- To gather, analyze and understand business users’ data and analytics requirements and translate these into analytics best practice technical solutions that meet business objectives. To produce comprehensive business requirements specifications by leveraging domain, technical and data knowledge, and coordinating collaboration across stakeholders in the Capitec Data Estate
Education (Minimum)
- A relevant tertiary qualification in Information Systems
Knowledge and Experience
Minimum
Knowledge:
- Data Warehousing on an enterprise level
- Cloud data estates (e.g., AWS and Azure)
- Cluster computing fundamentals e.g., Big Data
- Data Governance and Data Management
- Understanding of data protection
- Financial systems and procedures
- SDLC / DevOps
- Conceptual Data modelling
- Basic data analysis using SQL (PostgresSQL)
- Understanding of the concepts of data visualisation
- Software Testing and Quality Assurance
- Coaching: principles and practice
- Databases and Database design
Ideal:
- Banking systems environment
- Banking business model
- Agile development life cycle
- Databases and Database design
- Quality Assurance (QA)
- Amazon Redshift
Experience
Minimum:
- At least 7 years’ proven experience within information systems, business intelligence or data warehousing environments
- At least 7 years’ proven experience in drafting Business Requirement Specifications/Documents and translating requirements between business and functional stakeholders
- Experience in Business Analysis using various techniques to describe business needs e.g. conceptual model, ERD, Test Cases, Data Flows, UML models, Data Dictionary, Business processes flows, etc.
- Experience in providing technical coaching to more junior team members as well as leading projects and/or Communities of Practice (COP)
- Able to perform data analysis and determine the impact on broader organisational frameworks and objectives
- Able to identify and classify data exposure risk from the relevant legislation
Ideal:
- Relevant business domain knowledge e.g., credit
- Business Information Business Analysis experience in a finance/banking environment
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About the role:
- We are seeking a strategic and results-driven Product Manager to support the Product Head in delivering best-in-class Salesforce-based solutions. This role is responsible for optimizing the product throughout its lifecycle by directing its development and enhancement in close partnership with the Software Development Manager and cross-functional teams. The successful candidate will help prioritize and sequence product builds, ensuring alignment with business needs and technical capabilities.
Key Responsibilities:
- Lead product strategy and roadmap development for Salesforce-based solutions.
- Manage cross-functional teams to deliver high-impact digital products.
- Oversee end-to-end product lifecycle from ideation to deployment and optimization.
- Collaborate with stakeholders to define business needs and translate them into functional Salesforce solutions.
- Drive Agile product development and backlog prioritization.
- Develop business analysis artefacts to support product design and delivery.
- Conduct stakeholder workshops and facilitate requirements elicitation.
- Ensure regulatory compliance and risk oversight in product delivery.
- Mentor and coach product and business analysis teams.
Min Experience:
- At least 3 years’ management/ team management / team lead experience; senior level product development or product manager/owner
- 5+ years’ experience managing, developing and delivering Salesforce products.
- Working at tactical and operational levels and providing input into product strategy and business planning.
- Practical knowledge of salesforce and the capabilities it offers are non-negotiable.
- Integrating business and technical product segments to achieve objectives, delivery and targets.
- Career experience to include some time in one or more technical roles.
- Communicating with technical and non-technical stakeholders across multiple business units.
- Authoring of documents relating to product life cycle including business plans, product roadmap, business cases and requirements and functional specifications.
- Scoping/running usability studies and/or customer research.
- Using data and metrics to test theories, confirm assumptions, and measure success Client development and validating products through customer feedback.
- Aligning operational initiatives and/or projects to corporate strategies and objectives Achieving goals and objectives through cross functional teams.
- Managing and working with remote / hybrid teams. Leading and managing multi-functional teams to deliver Business development in a banking/financial landscape
Education (Minimum)
Education (Ideal or Preferred)
Skills
- Analytical Skills
- Attention to Detail
- Commercial Thinking Skills
- Communications Skills
- Interpersonal & Relationship management Skills
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Purpose Statement
- To gather, analyse, and understand business users’ data and analytics requirements, and translate these into best-practice technical solutions that meet relevant business objectives. To produce comprehensive business requirements specifications by leveraging domain, technical, and data knowledge, while coordinating collaboration across stakeholders (including Product Lines, Shared Services, and other support teams) within the Capitec Data Estate.
Education (Minimum)
- A relevant tertiary qualification in Information Systems
Knowledge and Experience
Minimum
Knowledge:
- Data Warehousing on an enterprise level
- Cloud data estates (e.g., AWS and Azure)
- Cluster computing fundamentals e.g., Big Data
- Data Governance and Data Management
- Understanding of data protection
- Financial systems and procedures
- SDLC / DevOps
- Conceptual Data modelling
- Basic data analysis using SQL (PostgresSQL)
- Understanding of the concepts of data visualisation
- Software Testing and Quality Assurance
- Coaching: principles and practice
- Databases and Database design
Ideal:
- Banking systems environment
- Banking business model
- Agile development life cycle
- Databases and Database design
- Quality Assurance (QA)
- Amazon Redshift
Experience
Minimum:
- At least 7 years’ proven experience within information systems, business intelligence or data warehousing environments
- At least 7 years’ proven experience in drafting Business Requirement Specifications/Documents and translating requirements between business and functional stakeholders
- Experience in Business Analysis using various techniques to describe business needs e.g. conceptual model, ERD, Test Cases, Data Flows, UML models, Data Dictionary, Business processes flows, etc.
- Experience in providing technical coaching to more junior team members as well as leading projects and/or Communities of Practice (COP)
- Able to perform data analysis and determine the impact on broader organisational frameworks and objectives
- Able to identify and classify data exposure risk from the relevant legislation
Ideal:
- Relevant business domain knowledge e.g., credit
- Business Information Business Analysis experience in a finance/banking environment
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Purpose Statement
- To provide ssecretarial and administration support to the Chief Executive Officer, Executive: Sales & Operations and Executive: Business Development
Experience
Min
- At least 5 years’ administrative and secretarial experience within a corporate environment
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
Qualifications (Ideal or Preferred)
- National Diploma in Secretarial Studies
Knowledge
Min:
- General Office Systems
- Understanding of:
- Payment processes
- Basic budgeting principles
- Generic logistical processes and systems
- Investor relations environment (knowledge/experience)
Ideal
- Knowledge of Capitec Bank related policies, including:
- Cell phone Reimbursement Policy
- Procedure for Payment of Creditors and Suppliers
- Personnel Expense Claim Procedure
- Procurement Purchasing Policy
- Travel and Accommodation Policy
- Typing Standards
- Courier Services Policy and Procedures
Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Business writing skills
- Interpersonal & Relationship management Skills
- Telephonic / Call skills
- Planning, organising and coordination skills
Conditions of Employment
- Clear criminal and credit record
- Contactable via own mobile phone
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About the role:
- As a Test Analyst, you will play a key role in ensuring the quality and reliability of our insurance systems and products. You will be responsible for designing and executing test cases, logging and managing defects, and collaborating directly with developers to resolve issues quickly and effectively. The role requires accountability, strong problem-solving skills, and the ability to thrive in a demanding and fast-paced environment.
- You will work within a dynamic, youthful, and collaborative team that values initiative, accountability, and continuous learning.
Our ideal candidate has:
- Experience: 3–5 years in Agile testing, writing/executing test cases, managing defects, engaging with developers
- Technical Skills: Proficient in Selenium, Browserstack, Jira, Postman, with solid SQL & API testing knowledge
- Attributes: Accountable, responsible, strong personality, team player with leadership ambition
- Industry Background: Insurance experience beneficial but not essential
Education (Minimum)
- Grade 12 National Certificate / Vocational
- A relevant tertiary qualification in Software Testing or Information Technology
Education (Ideal or Preferred)
- National Diploma in Information Technology
Knowledge and Experience
Minimum:
- Understand the end-to-end processes being tested to achieve successful testing
- Knowledge of and exposure to impact analysis when introducing software changes
- Understand the full Systems Development Lifecycle (SDLC)
- Best practice / industry standard in software and hardware testing, reporting, tracking and follow up, and Software Quality Assurance (SQA)
- 2-3 years’ experience in Quality Assurance (QA) testing within a business context
Ideal:
- Knowledge of Capitec’s Way of Work (WoW) during projects
- Experience in continuous delivery environment
- Application of test tools
- Test Automation
- Financial/Banking Systems
- Reinforce with stakeholders/feature team appropriate testing environments and timelines
- SQL Query/Fundamentals
Skills
- Analytical Skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
- Numerical Reasoning skills
Method of Application
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