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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Purpose Statement
- To assume ownership for executing key accounting functions and providing an accurate financial status of all systems across the business.
- To play a critical role in ensuring the integrity and accuracy of financial data within Capitec’s banking system in order to drive operational excellence and financial integrity in an efficient and timeous manner.
- To provide subject matter expertise, technical know-how, experience, oversight and guidance for others in respect of a portfolio, function or department.
Experience
- 3+ years’ experience in reconciliation.
Qualifications (Minimum)
- Bachelor's Degree in Accounting - Financial Accounting or Finance
- A relevant post-graduate qualification in Accounting - Financial Accounting or Information Systems
Qualifications (Ideal or Preferred)
Knowledge
- Management of Accounts.
- Computerised accounting systems and principles (SAP).
- Financial Analysis and Interpretation.
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Numerical Reasoning skills
- Problem solving skills
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Purpose Statement
- The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization. This role transforms data into actionable insights that support strategic decision-making, optimize operations, and drive business performance. By identifying trends, patterns, and opportunities, the role enables informed, data-driven decisions and contributes directly to the company’s strategic objective of being an insights-driven organization.
Experience
- NB. Length of experience required is conditional on the qualifications obtained but must include:
- Experience in data analysis, preferably within the financial services or retail sector.
- Experience in contributing to data analysis projects
- In using data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
- Experience in performing data analysis and statistical modelling.
- Experience working with cross-functional teams (e.g., finance, marketing, IT) to support business requirements and the provision of data-driven insights.
- Ability to communicate findings and recommendations to non-technical stakeholders.
- Exposure to financial products and services and market trends and their impact on data analysis.
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Other
Knowledge
- Basic understanding of basic SQL commands and queries to extract and manipulate data.
- Proficiency in using Excel for data analysis, including functions, pivot tables, and basic formulas.
- Familiarity with basic features of Data Visualization Tools Power BI, or similar.
- Basic knowledge of programming languages (such as Python or R) for data analysis tasks.
- Understanding of fundamental statistical concepts and their application in data analysis.
- Understanding of data cleaning techniques to ensure data quality.
- Knowledge of descriptive statistics to summarize and describe data.
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Purpose Statement
- To bridge the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable, and performant data models and insights that drive organizational decision-making.
- To collaborate with stakeholders to understand analytical needs, partnering with Data Architects and Data Modelers to design scalable data models aligned with enterprise strategy.
- Design and build efficient, reproducible data assets (including data models and marts, semantic layer, working environments etc), along with scalable transformations and pipelines that empower both Analytical Engineers and Data Analysts to deliver insights and reports with speed, consistency, and minimal friction.
Experience
Minimum:
- Length of experience required is conditional on the qualifications obtained but must include:
- Experience in data analytics or engineering roles.
- Hands-on experience building data pipelines and dashboards.
- And/or Internships or academic projects involving data pipelines or analytics tools.
- Familiaritly with reporting tools like PowerBI
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical
Knowledge
Min:
Basic understanding of:
- Data modeling concepts (e.g., star/snowflake schemas).
- ETL/ELT processes.
- Data warehousing (e.g., BigQuery, Snowflake, Redshift).
- Familiarity with version control (e.g., Git).
Skills
- Attention to Detail
- Communications Skills
- Problem solving skills
- Reporting Skills
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Purpose Statement
- The level II Software Engineer plays an integral part in a cross-functional team dedicated to the full software development lifecycle, from concept, to development to deployment and ultimately operating of each product. At this level, Software Engineers are responsible to design, develop, test, deploy, maintain and enhance software systems and applications based on specifications, while adhering to established standards. They translate requirements from the business or technical analyst and actively participate with the delivery team in design and problem-solving.
- The Full Stack Software Engineer plays a crucial role in developing and maintaining both front-end and back-end components of web applications and works on all layers of the application stack. They are therefore responsible for applying a holistic approach to building solutions that not only offer optimum performance, reliability, and scale but also create great client experiences.
Education (Minimum)
- Grade 12 National Certificate / Vocational
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology
Knowledge and Experience
Experience:
- 3+ years’ proven experience in both front- and back-end software development, project delivery and implementation (in relevant development technologies/language). Experience with modern front-end and back-end frameworks and technologies
Knowledge:
- Is able to apply advanced knowledge of the following:
- IT systems development processes (SDLC)
- Application development
- Advanced programming concepts
- Advanced algorithms and data structures
- Design Patterns
- Version Control
- Testing practices
- Database systems and query optimization (e.g., SQL, NoSQL).
- RESTful API design and integration.
- Cloud computing platforms and services (e.g., AWS, Azure).
- Advanced Microservice and event driven architectures
- Deployment using kubernetes and containerization
- Responsive design principles and mobile-first development.
- Browser compatibility issues and performance optimisation.
- Front-end build tools and package managers
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving 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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About the Role
We are looking for a Systems Analyst to join our Stellenbosch-based team.This role is primarily design-focused, with strong emphasis on system architecture, integration, and solution thinking rather than pure development. The ideal candidate understands development principles and coding perspectives but operates at a systems design and solution level.The Systems Analyst will:
- Design, develop, configure, and maintain automation and system integrations across the Systems Development Lifecycle (SDLC)
- Align system solutions to business processes and governance requirements (internal and external)
- Provide technical system support and resolve complex queries
- Liaise with internal teams and external system stakeholders to ensure timely resolution of technical issues
- Contribute to solution architecture discussions and design decisions
- This role suits someone who has grown from a software engineering or development background and is transitioning toward solution architecture or advanced systems design.
Minimum Requirements
- Relevant tertiary qualification in Information Technology (Computer Science or Information Systems)
- 5–8 years’ experience in Systems Design and Analysis
- Exposure to complex system integrations
- Strong understanding of development environments (background in software engineering advantageous)
- At least 1–2 years of telco experience (advantageous)
Technical Skills:
- SQL
- Transact-SQL
- Web Services
- HTML, CSS, JavaScript
- Exposure to Java (advantageous, not mandatory)
- Certifications such as AWS are beneficial but not mandatory. Broad technical exposure across multiple technologies is valued over niche certification alignment.
Ideal Experience & Tools
- Jira
- Confluence
- Exposure to automation tools
- Working knowledge of Java and/or C#
Knowledge & Competencies
Advanced knowledge and understanding of:
- Systems Analysis methodologies
- SDLC processes
- ITIL principles and their practical application
- Automation tools and integration frameworks
- Domain-Driven Design
- Event-driven architecture (Kafka).
Good understanding of:
- Banking systems
- Best practices in Quality Assurance (QA)
- Governance and compliance in regulated environments
- AI Prompt Engineering Experience
- Claude Code exposure and implementation
- Github Copilot exposure and implementation
- The incumbent would need to understand and be able to work with event driven systems where you either publish or listen to events and how to do that. And then for Domain Driven design it is the ability to craft elegant object systems.
Qualifications (Minimum)
- A relevant tertiary qualification in Information Technology - Computer Science or Information Systems
- Grade 12 National Certificate / Vocational
Qualifications (Ideal or Preferred)
- National Diploma in Information Technology - Computer Science or Information Technology - Programming
Skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Negotiation skills
- Influencing Skills
- Facilitation Skills
- Presentation Skills
- Analytical Skills
- Problem solving skills
- Commercial Thinking Skills
- Planning, organising and coordination skills
- Attention to Detail
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Purpose Statement
- To gather, analyse and understand business users’ data and analytics requirements and translate these requirements into analytics best practice technical solutions that meet the relevant business objectives.
- To ensure alignment between business, Product Managers, data and analytics teams and produce a comprehensive functional specification from business requirements by maintaining a high level of in-depth knowledge with regards to analytics and other relevant data concepts.
Education (Minimum)
- A relevant tertiary qualification in Information Systems
- Certification in Business Analysis
Education (Ideal or Preferred)
- Certification in AWS Data Analytics Speciality or AWS Architecture
Knowledge and Experience
Knowledge
Minimum:
- 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
- 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 5 years’ proven experience within information systems business intelligence and data warehousing environment
- At least 5 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.
- Able to perform data analysis and determine the impact and next steps required
- Able to identify and classify data exposure risk from the relevant legislation
Ideal:
- Able to perform data analysis and determine the impact on broader organisational frameworks and objectives
- Relevant business domain knowledge e.g., credit
- Business Information Business Analysis experience in a finance/banking environment
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Purpose Statement
- To apply financial crime intelligence techniques to identify and profile syndicated insurance fraud activity.
- To disrupt insurance fraud syndicates by acting upon identified financial crime intelligence.
Experience
Minimum:
- 3 plus years’ experience as a Forensic Investigator/Auditor
- At least 3 years’ experience in financial crime intelligence investigations
- Experience in the use of investigation tools Experience in performing transactional analysis
Ideal:
- Experience in the use of advanced investigative tools such as graph databasing, SQL and i2 Analyst Notebook.
Qualifications (Minimum)
- Grade 12 National Certificate / Vocational
Qualifications (Ideal)
- A relevant qualification in Fraud, Forensics or Criminal Intelligence
Key Performance Areas
- Investigation of fraudulent activities
- Generate useful, actionable intelligence on syndicated insurance fraud.
- Perform syndicated intelligence investigations with completeness and accuracy.
- Perform syndicated intelligence investigations with efficiency, utilising effective investigative techniques, time management skills and prioritisation skills to have the greatest impact possible.
- Reporting
Knowledge
Minimum:
- Investigation methods and procedures
- Knowledge of insurance application and claim processes
- Knowledge of legislation, regulations and legal principles applicable to the fraud within the insurance and banking industry
Ideal:
- For Capitec Insurance
- Fraud and misrepresentation in the insurance industry
- Knowledge of Capitec systems (e.g. SBL, Horizon, etc.)
- Relevant Capitec Insurance policies
Skills
- Communications Skills
- Computer Literacy (MS Word, MS Excel, MS Outlook)
- Reporting Skills
- Presentation Skills
- Negotiation skills
- Attention to Detail
- Interpersonal & Relationship management Skills
- Analytical Skills
- Decision making skills
Conditions of Employment
- A valid driver's license and own vehicle is required
- Required to be available after hours in case of emergency
- Clear criminal and credit record
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Purpose Statement
- To actively influence and provide expert Risk Management oversight to relevant stakeholders where required, contributing to risk culture maturity, regulatory compliance and strategic risk mitigation, while enabling informed decision-making and sustainable business performance. As part of the Enterprise Risk Management Framework implementation, provide 2nd line oversight over all aspects relating to Risk Management.
Experience
- 10yrs+ risk management in a senior role overseeing a large organizational unit preferably in a financial institution or bank.
Or
- As a risk specialist in a leadership role
- Industry experience of at least 6 years with banking regulations, capital markets, technology risks and public policy
- Proven experience of using influence and relationships to drive and achieve objectives
- Experience of strategically leading, planning and managing risk initiatives across a large organisation
- Alignment of metrics, reporting and tactical objectives with strategy
- Ability to apply risk expertise to creative and effective applications
- Regulatory liaison and engagements
Qualifications (Minimum)
- Bachelor's Degree in Risk and Compliance or Law
Qualifications (Ideal or Preferred)
- A relevant post-graduate qualification in Risk and Compliance or Law
Knowledge
- Knowledge and experience of Risk life cycle/value chain
- Expert knowledge of Risk Management best practice and regulatory frameworks/requirements
- Commercial, business and financial principles and practices
- Building and developing effective teams
- Risk management systems
- Business knowledge
- Governance and Risk Management principles
- Business products, processes, policies and systems
- Quality principles and practice
- Process-oriented management
- Internal risk metrics and approaches
- In-depth knowledge of Corporate Governance Frameworks
Skills
- Analytical Skills
- Commercial Thinking Skills
- Decision making skills
- Interpersonal & Relationship management Skills
- Leadership 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:
- Running and enhancing existing complex pricing and financial models, and building components of new models for a business function.
Experience
Minimum:
- Honours Degree with 1 – 3 years’ experience in an analytical capacity, working in a dynamic, mathematically complex environment – focusing on financial models.
- OR Masters Degree with 0 – 2 years of experience in an analytical capacity, working in a dynamic, mathematically complex environment – focusing on financial models.
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
- Business specific / functional principles (for example, Credit Pricing and Provisioning)
Ideal:
- Domain specific knowledge, for example credit pricing or provisioning principles.
- Relevant legislation and regulatory frameworks (for example, Basel, IFRS 9).
- Impact of the economic, operating and regulatory environment on financial and pricing strategies.
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
- The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization. This role transforms data into actionable insights that support strategic decision-making, optimize operations, and drive business performance. By identifying trends, patterns, and opportunities, the role enables informed, data-driven decisions and contributes directly to the company’s strategic objective of being an insights-driven organization.
Experience
- NB. Length of experience required is conditional on the qualifications obtained but must include:
- Experience in data analysis, with a significant portion in the financial services or banking sector
- Proven track record of leading data analysis projects and driving business impact through data insights
- In using advanced data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
- Experience in performing complex data analysis and statistical modelling.
- Experience working with, guiding and providing subject matter expertise to cross-functional teams (e.g., finance, marketing, IT) to understand business needs and provide data-driven insights.
- Of communicating and presenting findings and recommendations to non-technical stakeholders.
- Understanding of various financial products and services, industry trends, industry regulations and compliance requirements and their impact on financial data analysis
Qualifications (Minimum)
- Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
- Honours Degree in Analytical/Data/Technical or Other
Knowledge
- Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
- Expertise in advanced Excel functions, including macros and VBA.
- Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar.
- Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
- Strong understanding of statistical methods and their application in financial data analysis.
- Understanding of predictive analytics techniques and their application in financial analysis.
- Knowledge of data modelling techniques to structure and organize data effectively.
- Understanding of risk analysis methods and their application in financial services.
Skills
- Analytical Skills
- Communications Skills
- Problem solving skills
- Project Management Skills (Methodolgy Specific)
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Purpose Statement
- To lead a team of Finance Business Partners, prioritising and overseeing commercial guidance to ensure alignment of operational drivers, business strategy and financial performance within business portfolios to enable accurate and effective financial management and decision making.
Experience
- 5 years’ experience in financial accounting or finance partnering environment.
- 2+ years’ experience leading or managing finance knowledge workers, coordinating and prioritising to achieve plans and objectives
- In an environment requiring validating work
- Stakeholder relationship engagement and management
- Responsibility for delivery in a high performing, continuous development environment
Qualifications (Minimum)
- Honours Degree in Accounting - Financial Accounting or Commerce
Qualifications (Ideal or Preferred)
- Qualified Chartered Accountant (CA)
Knowledge
- People management and development principles and practices
- Coaching and mentoring techniques
- Planning and organising teams
- Delegation and conflict management
- Client /service provision and focus principles
- Business acumen
- Stakeholder relationship management principles
- Financial management practices and processe
Skills
- Analytical Skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Leadership Skills
- Numerical Reasoning skills
- Planning, organising and coordination skills
- Decision making skills
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Purpose Statement
- The Product Head is accountable for end‑to‑end ownership of scored lending products, including strategy, roadmap, delivery, product performance, compliance and client experience. The role ensures products are competitive, scalable, digitally led and aligned to the business’ income‑driving goals.
- The position is responsible for enabling a score‑more strategy, improving scorecard integration, and driving continuous workflow optimisation across secured, unsecured, and transaction‑linked scoring environments.
- *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:
Experience
- 10+ yrs experience in business management at a senior level in an innovative high performing environment, ideally banking or FinTech.
- 5+ years’ experience managing products.
- Business and product vision; has had ownership responsibility for a product previously.
- Product management where there are multiple initiatives with competing priorities and so experience in influencing multiple diverse stakeholders, both business and technology.
- Working at strategic, tactical and technical levels.
- Career experience to include some time in one or more technical roles.
- Communicating with technical and non-technical senior stakeholders across multiple business units.
- Using data and metrics to test theories, confirm assumptions, and measure success
- Earning trust across different levels and multiple groups of a large organization
- Usability studies and/or customer research principles and methods.
- Client development and product validation through customer feedback.
- Using influence and relationships to drive and achieve objectives.
- Leading and guiding multi-functional teams with a single product operating model
- Leading and having oversight of remote / hybrid teams.
Knowledge and Skills
- Strategic and commercial thinking; able to think about problems from a business perspective using people, technology and product input.
- Business acumen and systems thinking; able to take a ‘big picture’ view, assess, make a logical, sound decision and influence others to achieve objectives.
- Financial acumen - sufficient to effectively operate own cost centre
- People leadership and management practices to empower, create focus and delivery.
- Organising, planning and prioritising work.
- Data-driven approach; analytical and quantitative skills.
- Technologically literate and able to adapt to new technologies.
- Able to dive deep in understanding the product, the business, and the competitive landscape.
- Able to present complex technical information in a clear and concise manner to a variety of audiences.
Skills
- Commercial Thinking Skills
- Decision making skills
- Interpersonal & Relationship management Skills
- Problem solving skills
- Strategic Thinking Skills
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Purpose Statement
- The Back-End Software Engineer III plays a critical role in designing and building scalable, secure, and high-performing backend systems that power our enterprise applications. You will work within a cross-functional team to deliver end-to-end solutions, from architecture and development to deployment and monitoring. At this level, you will also mentor junior engineers, contribute to engineering standards, and ensure best practices across the software development lifecycle.
Education (Minimum)
- Grade 12 National Certificate / Vocational
Education (Ideal or Preferred)
- A relevant tertiary qualification in Information Technology
Knowledge and Experience
Experience:
- 6+ years of proven experience in back-end software development using .NET (C#) and/or Python for enterprise-grade applications.
- Hands-on experience designing, developing, and maintaining microservices and event-driven architectures in production environments.
- Proven track record in architecting and implementing cloud solutions on AWS, including services such as EKS, Lambda, RDS, MSK, S3, and ElastiCache.
- Experience in automating infrastructure provisioning and management using Terraform and GitOps workflows (ArgoCD, GitHub Actions, Jenkins).
- Practical experience implementing CI/CD pipelines for build, test, and deployment automation.
- Exposure to observability practices (metrics, tracing, logging) and maintaining system health using monitoring tools.
- Experience collaborating with cross-functional teams (DevOps, QA, Product, Architecture) to deliver end-to-end solutions.
- Previous involvement in mentoring junior engineers, conducting code reviews, and contributing to engineering standards.
Knowledge:
- Strong programming skills in C# (.NET 7/8/9) and Python (FastAPI).
- Deep understanding of AWS cloud services (IAM, EKS, RDS, MSK/Kafka, Lambda, ElastiCache).
- Expertise in Infrastructure as Code using Terraform (modules, state management, environment-specific provisioning).
- Solid understanding of microservices architecture, REST/gRPC APIs, and event-driven design.
- Proficiency with databases (PostgreSQL, SQL Server, MySQL).
- Knowledge of CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
- Strong understanding of containerization (Docker, Kubernetes).
- Familiarity with monitoring and observability tools (Instana, Prometheus, Grafana, OpenTelemetry).
Skills
- Analytical Skills
- Attention to Detail
- Communications Skills
- Interpersonal & Relationship management Skills
- Problem solving skills
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Purpose Statement
To optimise credit intelligence performance, and minimise credit risk through:
- Independently conducting complex quantitative data analysis and delivering analytical output that will enable insights and inform business decision making.
- Proposing and executing solutions based on analytical outputs.
- Proposing and working with senior team members to build new statistical models informing credit decisions.
Experience
Minimum:
- 2-4 years’ experience in retail credit analysis (including SQL programming, diagnostic analytics, statistical modelling and data visualisation).
- In case of Honours degree: 1 - 3 years’ experience in retail credit analysis (including SQL programming and descriptive analytics).
Ideal:
- Portfolio specific experience
- Capitec Bank experience
Qualifications (Minimum)
- Bachelor's Degree in Finance or Statistics
Qualifications (Ideal or Preferred)
- A relevant post-graduate qualification in Finance or Statistics
Knowledge
Skills
- Communications Skills
- Presentation Skills
- Reporting Skills
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What You’ll Do
- We are looking for a Salesforce Domain Architect to lead the strategic direction and technical excellence of our Salesforce ecosystem. This is a senior role that combines architecture, leadership, and hands-on expertise to deliver scalable, secure, and innovative solutions across our business banking platforms.
- Strategic Leadership: Define and execute a 3–5 year roadmap for Salesforce, ensuring alignment with business goals.
- Platform Governance: Oversee Salesforce org health, security, and performance. Establish standards and best practices for development and integration.
- Solution Design & Development: Architect and guide the creation of custom solutions using Apex, Lightning Components, and integrations with external systems.
- Integration Management: Develop patterns and roadmaps for seamless integration with other business systems.
- Team Leadership: Mentor and manage a team of Salesforce specialists, fostering collaboration and innovation.
- Project Delivery: Plan and oversee Salesforce projects, ensuring timely and quality delivery.
- Stakeholder Engagement: Translate business needs into technical solutions and communicate effectively with all levels of the organization.
- Continuous Improvement: Stay ahead of Salesforce releases and implement enhancements to maximize platform value.
- Data & Security: Ensure data quality, governance, and compliance with regulations (GDPR, POPIA, etc.).
- Release Management: Coordinate deployments, manage version control, and act as a quality gatekeeper for releases.
What We’re Looking For
Experience:
- 5 - 10 years as a Salesforce technical expert.
- Proven track record in Salesforce development, integration, and administration.
- Experience managing large-scale projects and leading teams.
Technical Skills:
- Apex, Visualforce, Lightning Components, API development, and middleware integration.
- Knowledge of DevOps/DevSecOps processes and tools (e.g., Copado, AutoRabit).
- Familiarity with AWS, nCino, and data modeling best practices.
Certifications:
- Salesforce Architect-level certifications (highly desirable).
- AWS and nCino certifications are a plus.
Soft Skills:
- Strong leadership and communication skills.
- Analytical problem-solving and adaptability in a fast-paced environment.
Education:
- Bachelor’s degree in Computer Science or equivalent experience.
Method of Application
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