Capitec – Risk Management Jobs – 10 June

To apply, click on the link at the end of the posts and all the best with your applications

Risk Manager

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

Conditions of Employment

• Clear criminal and credit record

Click here to apply

Manager: Compliance

Purpose Statement

• To develop strategies and operational processes for Retail Bank for the execution and embedment of compliance risk management processes as required by relevant regulatory requirements, applicable codes of conduct and minimum standards
• To be responsible for and manage compliance within the Retail Bank; to facilitate adherence to legislative requirements as prescribed by Regulation 49 of the Banks Act
• To enhance the compliance culture by developing and maintaining a thorough understanding of the relevant regulatory requirements and the global regulatory environment and best practice principles applicable to the bank ​​​​​​

Experience

Minimum:

• 5+ years’ experience in a compliance role (over and above qualification)
• Experience in respect of the practical application of relevant laws and regulations is essential
• Understanding of legal issues and the ability to interpret legislation in respect of the retail banking environment.
• Exposure to monitoring principles and practices
• Strong business knowledge 
• Previous experience in managing a team (minimum 2 years)

Ideal:

• Experience in a banking or financial services industry (credit providers, retail banks, etc.) 
• Proven experience in the application / use of risk related software packages:
  • EXCLAIM software
• Experience in dealing with compliance issues similar to those applicable to the bank
• Exposure to providing training / public speaking
• Managerial budgeting

Qualifications (Minimum)

• Honours Degree in Law or Commerce

Qualifications (Ideal or Preferred)

• Post Graduate Diploma in Business Management or Risk and Compliance

Knowledge

Minimum:

• Knowledge and experience of implementing and being accountable for compliance frameworks/strategies in a retail banking environment
• Knowledge and experience of implementing and being accountable for Market Conduct and Financial Crime compliance frameworks / strategies across the bank (RB & BB) 
• Solid understanding of compliance regulation best practice and guidance 
• Knowledge and understanding of compliance and operational risk regulatory requirements 
• Knowledge and understanding of risk management methodologies, tools, governance structures and regulatory requirements for good management of risk 
• Understanding of financial services business processes, especially in the retail banking environment.
• Development and implementation of risk management and reporting
• Understanding of the retail banking landscape.

Knowledge of:

• Commercial Law
• Legal practices
• Monitoring techniques
• Auditing processes
• Computer systems (Office – Word, Excel, Powerpoint)

Ideal:

• Legislation regarding all specified compliance monitoring areas (consumer protection, money laundering and terrorist financing, labour legislation or financial and regulatory)
• Banks’ systems
• EXCLAIM software

Skills

• Communications Skills
• Planning, organising and coordination skills
• Analytical Skills
• Reporting Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)

Conditions of Employment

• Clear criminal and credit record

Click here to apply

Quantitative Analyst

About The Role

This role is for an experienced quantitative professional who enjoys solving complex problems at enterpriselevel. You’ll design, develop and own quantitative models that underpin liquidity risk, capital adequacy, ALM,IRRBB and stress testing, operating across the full model lifecycle, from data through to executive insight.
Beyond technical delivery, you’ll act as a trusted advisor to senior stakeholders, translating regulatoryframeworks and risk strategy into robust, interpretable models that stand up to scrutiny.

What You’ll be Responsible For

• Leading the design, development and ownership of quantitative risk models, with a strong focus on:

• • Asset & Liability Management (ALM)
  • Liquidity risk
  • Interest Rate Risk in the Banking Book (IRRBB)
  • Market risk and selected credit risk models
• Support enterprise and board‑level risk metrics, including capital adequacy, liquidity risk and regulatory reporting requirements
• Translate risk strategy and regulatory frameworks into practical, operational models and insights
• Work across the full model lifecycle – from data sourcing and preparation through to modelling, validation, interpretation and stakeholder engagement
• Partner closely with Risk, Treasury, Data Engineering and Senior Stakeholders to ensure models are fit‑for‑purpose and well understood
• Operate as a technical lead and subject‑matter expert, guiding best practice within the quantitative space

What We Are Looking For

Experience (minimum):

• 5–7 years’ hands‑on experience in quantitative risk modelling within banking, financial services or risk consulting
• Strong experience building (not just using) quantitative models
• Proven exposure to regulatory capital and liquidity frameworks (ICAAP, ILAAP, LCR, NSFR, CAR)
• Experience with stress testing and economic capital modelling
• Strong programming skills in Python or R, with SQL for data extraction

Experience (ideal):

• 7+ years’ experience in enterprise‑wide or Board‑facing quantitative roles
• Direct involvement in ICAAP / ILAAP or regulatory stress testing submissions
• Exposure to Basel III / IV interpretation and application
• Experience with A‑IRB credit risk models (PD, LGD, EAD) and advanced liquidity behavioural modelling
• Experience mentoring or technically guiding junior quants

Qualifications

• Minimum: Honours degree in Mathematics, Statistics or a related quantitative discipline
• Preferred: Master’s degree in Mathematics, Statistics, Engineering, Econometrics or Finance
• Professional certifications such as CFA, FRM or PRM are advantageous

Conditions of Employment

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

Click here to apply

IT Audit Manager

Lead the audits that keep us safe

Our technology and data environment is growing fast. So is the complexity of the risks within it. We’re looking for a skilled technical auditor to join our Internal Audit team, someone who understands SDLC, cloud infrastructure and cybersecurity from the inside, and who can translate that knowledge into audits that genuinely make us stronger. 

This is not a generalist role. We need deep technical expertise combined with the experience to operate independently at a senior level.

Why this role is different

You’ll work at the heart of one of South Africa’s most digitally active banking environments. The exposure here is real — complex systems, evolving security challenges and stakeholders who take audit findings seriously. We invest in your development, and there’s room to grow. Technical experience is what drives this role, but we also support the development of skills that take time to build, it’s a two-way commitment. 

What you’ll do

• Plan and lead end-to-end IT internal audits, with a focus on cloud environments and security controls 

• Identify risks in our technology and data landscape and turn findings into clear, practical recommendations 

• Engage senior stakeholders across tech and data teams to ensure audit outcomes lead to real change 

• Stay current with emerging technology risks and apply that knowledge directly to audit planning 

What we’re looking for

• At least 2 years’ managerial experience in a banking environment, managing a team of 5 or more
• At least 5 years’ IT/Technology audit experience

• Strong, proven expertise in cybersecurity, complex SDLC processes, and cloud environments — this is the core of the role 

• Exposure to and understanding of IT systems/ processes such as AWS, SDLC and cybersecurity 

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• Sound understanding of IT risk frameworks, governance and control environments 

• Relevant certifications such as CISA

• A bachelor’s degree in information technology, Computer Science or a related field 

• A self-directed work style, you take ownership and see things through
• Experience leading full audit cycles independently, from planning through to reporting
• The ability to communicate complex technical findings clearly to non-technical stakeholders 

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• Prepare and present audit reports that are sharp, balanced and easy to act on 

• Monitor the implementation of agreed audit actions and track progress through to completion 

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

Click here to apply

Manager: Fraud Operations (Insurance)

Apply by:  

We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Purpose Statement

• To interpret the Financial Crime Operations business plan and in the context of the Risk environment, to prevent and minimise the exposure to financial and reputational risk for Capitec Bank through achieving the business plans and objectives. Responsible for operationalising plans and the day-to-day management for a function in Fraud Operations, embedding and improving the efficiency and effectiveness of appropriate processes, practices, standards, and regulations.  

Experience

Minimum

• At least 1-3 years’ experience in a Financial Crimes Operations environment, dealing with detection and response within a banking / financial services organisation
• At least 3-5 years’ experience in leading a team

Ideal

• Strong people management and operations experience with a focus on productivity and efficiency, and a solid background in investigations — fraud experience is preferred and insurance sector experience is ideal 
• Proven experience in insurance fraud operations, including investigation and management of insurance-related financial crimes 
• You collaborate well across teams, manage stakeholder relationships and have experience training and upskilling team members
•  You are open to adopting AI-driven processes and tools to improve efficiency 

Qualifications (Minimum)

• Bachelor’s Degree in Forensics or Business Management

Qualifications (Ideal or Preferred)

• Honours Degree in Forensics or Business Management

Knowledge

• Good understanding of Fraud and Forensics Operations
• General management and business knowledge in retail or finance/banking industry.
• Processes, procedures and regulations relating to Fraud Operations
• SABRIC and Banking Ombudsman rules and procedures
• Budgeting and resource planning
• Fraud types (Smishing, Vishing, Fishing, Card swop, Card present, Card not present etc.)
• People management and development principles
• The E-commerce markets
• Knowledge on relevant regulatory bodies
• Client experience and engagement.
• Relationship management with other banks and/or 3rd party providers.
• Working knowledge of analytics and AI/ML concepts as applied to fraud detection and investigation (e.g., supervised/unsupervised learning, anomaly detection, feature importance, false positive/false negative trade-offs).
• Model risk management basics (model lifecycle, validation, monitoring, performance drift) and the operational controls required when using AI-assisted decisions.
• Data governance and privacy principles relevant to financial crime operations (data quality, lineage, access controls, retention), including the implications of using customer data in AI-enabled processes.
• AI literacy (ability to interpret AI outputs, understand limitations, and apply judgement in operational decision-making).

Ideal

• Strong data analysis and visualisation skills (e.g., Excel advanced, BI tools) to translate fraud and AI insights into actions and reporting.
• Prompting skills for approved generative AI tools to support investigation summarisation, case note drafting and knowledge retrieval, while safeguarding confidential information.
• Stakeholder collaboration with data science/engineering for requirements definition, testing/UAT, and continuous improvement of AI-enabled processes.
• Continuous improvement mindset using experimentation, root-cause analysis and measurable benefits tracking for automation initiatives.

What you will do

Planning and Standards 

• Create, implement and get sign-off on a Business Continuity Plan, and facilitate Black Swan Scenario planning to keep the business running when the unexpected happens
• Manage operational risks, put controls in place and think ahead about future operational risks
• Work with Financial Crimes Operations enablement to develop and roll out an automated risk flagging process — and drive proactive, innovative solutions to business challenges
• Guide data analysis work to find opportunities to improve, and monitor and report on financial crime trends with teams across the business
• Act as the subject matter expert for Investigations and Reporting — stay current on regulations and developments in Financial Crime, and partner with risk, data and technology teams to identify, prioritise and operationalise AI/ML use cases across Fraud Operations

Operational management 

• Develop, implement and manage Fraud Operations systems and processes, and plan and schedule resources to deliver on SLAs and targets
• Resolve escalated client fraud cases using expert knowledge, and drive the adoption of AI-enabled decision support tools to improve alert quality, reduce false positives and improve investigator throughput
• Set up and maintain human-in-the-loop operating procedures for AI-assisted triage and investigations, and monitor and report on AI tool and model performance

People and team management 

• Build a pipeline of talent, make sure succession is in place, and develop the skills of your team — while managing KPAs, personal development plans and performance process.
• Take responsibility for daily operational management: allocate tasks and projects, coordinate workflows, manage leave and handle disciplinary enquiries

Reporting 

• Receive, filter and interpret reporting from Team Leaders, and compile monthly and annual reports for the Executive of Business Support Centre and Head: Financial Crime Operations on the health of the fraud operations environment

Skills

• Commercial Thinking Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Interpersonal & Relationship management Skills
• Management skills
• Problem solving skills
• Leadership Skills
• Analytical Skills
• Communications Skills
• Change Management Skills
• Decision making skills

Conditions of Employment

• Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

Click here to apply

Quantitative Analyst

Date: 4 Jun 2026

Location: Stellenbosch, ZA

Company: Capitec Bank Ltd

Apply by:  

We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below.

Join A Growing Quantitative Risk Capability!

At Capitec, data and machine learning are core to how we build smarter, fairer financial solutions. As our Business Bank and credit capability continues to grow, we’re strengthening our advanced analytics leadership to ensure our models are robust, scalable, and production‑ready. 

We’re looking for a senior Machine Learning and Data Science Analyst to independently validate high‑impact models across credit risk, financial crime, and advanced analytics use cases. 

This is a hands‑on technical role.

What You’ll Be Doing

• Leading the independent validation of machine learning models across:
  • Credit risk models
  • Propensity and behavioural models
  • Financial crime models (fraud and AML)
• Applying advanced ML techniques, including:
  • Supervised learning (Random Forest, XGBoost, CatBoost, Neural Networks)
  • Unsupervised learning (clustering, isolation forests)
• Managing model risk across the end‑to‑end model lifecycle, including:
  • Feature engineering and data preparation
  • Model training, evaluation, and selection
  • Production deployment and monitoring
• Building and reviewing models in Python‑based environments 
• Leading and mentoring analysts and junior data scientists 
• Partnering closely with Risk, Technology, and Business stakeholders 
• Ensuring models meet governance, performance, and scalability standards

What We Are Looking For

• 6–8+ years relevant experience, with demonstrated technical leadership  
• Strong hands‑on experience building machine learning and data science models end‑to‑end 
• Proven use of techniques such as:  
• Boosting algorithms (XGBoost, CatBoost) 
• Neural networks 
• Clustering and anomaly detection 
• Advanced proficiency in Python 
• Solid experience with SQL and working with large, complex datasets 
• Ability to lead technically while remaining actively involved in modelling work 
• Experience within credit risk, propensity modelling, or financial crime analytics 
• Experience with independent validation of models and/or detailed peer review 
• Proven experience researching machine learning models 

Qualifications

• Honours or Master’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, or a related quantitative field 

Preferred/ Ideal

• Experience leading or building ML teams in a regulated environment 
• Experience deploying or supporting models in cloud environments 
• Exposure to credit risk modelling, scorecards, or IFRS‑related analytics 
• Financial crime (fraud or AML) modelling experience 
• Experience designing models with scalability and deployment in mind 
• Familiarity with model risk, governance, or validation standards 

Why Join Capitec?

• Work on high‑impact, real-world models used across the bank
• Exposure to a wide variety of models, not just one product or portfolio
• Learn from experienced quantitative leaders in a collaborative environment
• Be part of a fast-growing organisation that values simplicity, transparency, and ownership
• Competitive rewards, learning opportunities, and long-term career growth 

Conditions of Employment

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

Click here to apply

Lead: Internal Auditor_ Pipeline

Date: 4 Jun 2026

Location: ZA

Company: Capitec Bank Ltd

Shape how we protect what matters most

We’re building a talent pipeline for future opportunities in our Internal Audit team, and we want to hear from people who are ready when the right role opens up. 

We need a Lead Internal Auditor who does more than check compliance. This role exists because we believe independent, sharp-eyed audit work makes us a better, stronger bank for our people and for the millions of South Africans who trust us with their money. If you see risk before it becomes a problem, and you know how to turn complex findings into clear actions, keep reading.

What you’ll do

• Plan, carry out and lead risk-based internal audits that give our leadership real, actionable insights 

• Use data analytics and computer-assisted audit techniques to find patterns, anomalies and risk exposure across the business 

• Assess our processes, controls and systems for adequacy and effectiveness against internal standards, best practice principles and regulatory requirements  

• Turn technical audit findings into plain, direct reports that drive decisions at the right level 

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• Work with the Audit Manager and key stakeholders to align on findings and track that agreed action plans are implemented 

• Identify where business practice falls short and recommend practical, proportionate steps to close the gap 

Our team

Our Internal Audit function works directly with senior leadership across the business. We cover a wide range of areas from financial reporting and governance to operations and compliance.  

Our work influences decisions at the highest level, and our findings get acted on. We don’t audit to tick boxes. We audit to make the business better.

Why this role is different

You’ll work on areas that are material to Capitec and to the people who depend on it. You’ll have direct access to leadership, real exposure to complex risk and control environments and the space to build expertise across disciplines — from data analytics to technology enabled controls commercial law, financial reporting and beyond. 

We invest in people who think independently, speak up when something’s wrong and bring the evidence to back it up. 

What we’re looking for

• At least 5 years’ experience in a risk-based auditing environment 

• At least 3 years’ experience in data analytics and computer-assisted audit techniques 

• A relevant tertiary qualification a CA (SA) OR Completed CIA qualification is a strong advantage 

• Proficiency in accounting principles and the ability to work confidently with financial reports 

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• Sound understanding of internal auditing procedures and standards 

• Ability to apply management principles to assess the significance of deviations from good business practice 

• Working knowledge across accounting, economics, commercial law, taxation, finance, quantitative methods and information technology 

Conditions of employment

• A clear credit and criminal record is a condition of employment 

• Location: Western Cape OR Gauteng 

Tell us you’re ready

This is a talent pipeline advertisement — we’re connecting with strong candidates ahead of confirmed vacancies. If you meet the requirements and want to be considered when a role becomes available, send us your CV and a short note on what makes you the right fit. 

Apply now

Click here to apply

Quantitative Analyst

Date: 29 May 2026

Location: Stellenbosch, ZA

Company: Capitec Bank Ltd

Apply by:  

We’re on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below.

Propel your career as a Quantitative Analyst at Capitec!

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs.We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud ofand earns the trust of our clients.

About the Team / Role

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 Quantitative 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 credit scorecard building, including developing, validating, and monitoring scorecards for credit risk application/behaviour models or marketing purposes. 
• 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.

Qualifications

• Minimum: Degree in Mathematics, Statistics, Actuarial Science or Data Science.
• Ideal or Preferred: Honours Degree in Data Science, Statistics, Mathematics or Acturial Science.

Conditions of Employment

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

Click here to apply

We wish you all the best with your applications