Job Vacancies at KPMG South Africa

Launch Your Career in Analytics, Audit Technology and AI

Are you passionate about technology, data, problem-solving, and continuous learning?

• We are looking for highly motivated graduates to join our growing Analytics Centre, where data, analytics, automation, and artificial intelligence come together to support audit teams across multiple countries.
• As an Analytics Graduate Analyst, you will work alongside experienced analytics professionals to deliver data-driven solutions that enhance audit quality and improve how technology is applied within the audit process.
• This is an excellent opportunity for graduates who enjoy working with data, solving complex problems, learning new technologies, and building a career in analytics, automation, and AI-enabled solutions.

Role Purpose

• The Analytics Graduate Analyst supports the delivery of analytics, data transformation, automation, and AI-enabled solutions for audit engagements.
• The role focuses on extracting, transforming, validating, and analysing data while developing practical skills in modern analytics tools and technologies.
• Successful candidates will contribute to real client engagements while building a strong technical foundation within a collaborative and supportive environment.

Key Responsibilities

Data Preparation and Transformation

• Extract, transform, and prepare data from a variety of client systems and sources.
• Perform data cleansing, validation, and quality assurance procedures.
• Identify and investigate data quality issues and exceptions.
• Assist in developing repeatable and scalable data transformation processes.
• Document procedures, assumptions, and outcomes in accordance with established methodologies.

Analytics and Solution Development

• Develop analytics procedures to support audit engagements.
• Write and maintain SQL queries and data transformations.
• Support the development of dashboards, reports, and visualisations.
• Assist in testing and validating analytics outputs.
• Contribute to the development of reusable analytics assets and solutions.

Technology, Automation and AI

• Learn and apply modern analytics tools and technologies.
• Support automation initiatives that improve efficiency and consistency.
• Assist in the implementation of AI-enabled audit solutions.
• Explore innovative approaches to solving analytical challenges.
• Contribute to continuous improvement initiatives across the Analytics Centre.

Audit Engagement Support

• Work with analytics professionals and audit teams to understand requirements.
• Deliver analytics outputs in line with engagement deadlines.
• Support the preparation of audit evidence and working papers.
• Assist in troubleshooting data and analytics issues.
• Provide timely and professional support to stakeholders.

Qualifications and Academic Requirements

We are particularly interested in graduates from the following disciplines:

• BCom Informatics
• BSc Computer Science
• BSc Data Science
• Other technology, analytics, or data-focused degrees may also be considered where relevant.
• Strong academic performance is preferred.

Technical Skills and Interests

Exposure to any of the following would be advantageous:

• SQL
• Databricks
• Python
• Microsoft Power BI
• Power Query
• Data visualisation
• Database concepts
• Data transformation
• Automation tools
• Artificial Intelligence and emerging technologies
• Prior work experience is not required; however, demonstrated interest in data, analytics, and technology is highly desirable.

Personal Attributes

We are looking for individuals who:

• Have a passion for data, analytics, and technology.
• Enjoy solving complex problems.
• Think critically and approach challenges analytically.
• Have strong attention to detail.
• Take ownership of their work and learning.
• Communicate effectively with both technical and non-technical audiences.
• Work well within a collaborative team environment.
• Are adaptable, curious, and eager to learn.
• Can manage multiple priorities and meet deadlines.
• What Success Looks Like in Your First 12 Months

You will:

• Develop strong SQL and data transformation skills.
• Gain practical experience working with real-world client data.
• Contribute to successful analytics engagements across multiple countries.
• Build proficiency in tools such as SQL, Power BI, Databricks, and Python.
• Gain exposure to automation and AI-enabled audit solutions.
• Develop high-quality working paper documentation and analytics outputs.
• Become a trusted and dependable member of the Analytics Centre team.
• Establish a strong foundation for future growth within analytics, automation, AI, and audit technology.

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Shape the Future of Analytics Delivery

• We are seeking an experienced Analytics Centre Operations & Delivery Manager to play a critical role in the continued growth and success of our Analytics Centre.
• The Analytics Centre supports audit teams across multiple countries by delivering data analytics, technology-enabled audit procedures, AI-driven audit solutions, and analytics advisory support.
• As demand continues to grow, we are looking for a highly organised and proactive manager to strengthen operational delivery, resource planning, governance, stakeholder communication, and overall delivery effectiveness.
• This role is ideal for someone who enjoys creating structure, solving operational challenges, improving ways of working, and ensuring teams can deliver consistently and effectively at scale.
• This is not primarily a technical analytics role. While exposure to analytics or technology-enabled services would be beneficial, the primary focus is operational leadership, delivery management, planning, coordination, and enabling a high-performing delivery function.

Role Purpose

• The Analytics Centre Operations & Delivery Manager is responsible for ensuring the smooth, efficient, and scalable delivery of services provided by the Analytics Centre.
• The role acts as the operational backbone of the function, coordinating demand, capacity, delivery oversight, stakeholder communication, governance, and continuous improvement activities to enable consistent and predictable service delivery.
• The successful candidate will help build a scalable operating model that allows the Analytics Centre to grow while maintaining high levels of service and stakeholder satisfaction.

Key Responsibilities

Delivery Management

• Oversee the delivery portfolio across the Analytics Centre.
• Monitor project progress, commitments, and delivery timelines.
• Identify delivery risks, bottlenecks, and dependencies and coordinate mitigation activities.
• Ensure effective prioritisation of work across competing demands.
• Track delivery performance and provide operational reporting to leadership.
• Help ensure work moves efficiently through the Analytics Centre from request to delivery.

Resource Planning and Workload Management

• Manage resource allocation across the Analytics Centre.
• Monitor team capacity, utilisation, and workload distribution.
• Support demand forecasting and delivery planning activities.
• Coordinate staffing decisions across multiple engagements and jurisdictions.
• Provide visibility of current and future resource requirements.
• Balance competing priorities to maximise delivery effectiveness and sustainability.

Operational Governance

• Establish and maintain effective delivery governance processes.
• Drive consistency in operational processes and ways of working.
• Monitor action items, commitments, risks, and delivery obligations.
• Maintain operational dashboards, reporting, and management information.
• Support leadership in tracking strategic and operational objectives.
• Facilitate operational reviews and follow-through on agreed actions.

Process Improvement and Operational Excellence

• Identify opportunities to improve efficiency, scalability, and service delivery.
• Design and implement sustainable operational processes and workflows.
• Support automation and standardisation initiatives.
• Drive continuous improvement across planning, delivery, and reporting processes.
• Promote operational best practices and knowledge sharing across the team.
• Help embed scalable ways of working that reduce operational friction and improve delivery predictability.

Operational Leadership Responsibilities

• Act as the central coordination point for operational delivery across the Analytics Centre.
• Drive accountability for delivery commitments, milestones, and operational objectives.
• Facilitate effective planning and prioritisation across multiple engagements and stakeholders.
• Escalate and coordinate the resolution of operational risks, conflicts, and capacity constraints.
• Support the implementation of scalable operating practices that enable sustainable growth.
• Foster a culture of ownership, collaboration, transparency, and continuous improvement.
• Provide leadership with meaningful operational insights to support decision-making.

Stakeholder Management Responsibilities

• Build strong working relationships with audit engagement teams, senior leadership, and key stakeholders.
• Manage stakeholder expectations regarding capacity, timelines, priorities, and delivery commitments.
• Facilitate regular delivery and operational reviews.
• Provide clear and timely communication regarding delivery status, risks, and dependencies.
• Support the resolution of operational issues and escalations.
• Collaborate across multiple countries and business units to support successful delivery outcomes.

Required Skills and Experience

• Bachelor's degree in Business, Operations Management, Project Management, Commerce, Information Systems, or a related field.
• 5+ years of relevant experience in professional services, consulting, operations management, project delivery, shared services, analytics support, or a similar environment.
• Demonstrated experience coordinating multiple projects, workstreams, or delivery portfolios.
• Strong project and delivery management capabilities.
• Experience in resource planning, workforce management, capacity planning, or operational coordination.
• Excellent stakeholder management and communication skills.
• Strong organisational, planning, and problem-solving abilities.
• Experience developing and implementing operational processes and governance frameworks.
• Ability to work effectively in a fast-paced and evolving environment.
• Strong attention to detail with the ability to manage multiple priorities simultaneously.

Preferred Experience

• Experience within a professional services, consulting, audit, or advisory environment.
• Exposure to analytics, technology-enabled services, data-related engagements, or AI-enabled solutions.
• Experience supporting geographically distributed teams.
• Experience within a PMO, operations management, delivery management, or service management function.
• Project management certification or equivalent practical experience.
• Experience helping teams scale and improve operational maturity.

What Success Looks Like in the First 12 Months

The successful candidate will:

• Establish clear delivery planning and governance processes across the Analytics Centre.
• Improve visibility of workload, capacity, and demand.
• Create a more predictable and scalable delivery model.
• Improve coordination across engagements and stakeholders.
• Reduce delivery bottlenecks and operational inefficiencies.
• Strengthen accountability for delivery commitments and action items.
• Introduce meaningful operational improvements that increase efficiency and transparency.
• Improve stakeholder confidence through proactive communication and delivery oversight.
• Enable the Analytics Centre to support increasing demand while maintaining a high level of service.

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Role Purpose

• The Technical Analytics Supervisor supports the delivery of high-quality analytics, automation, and AI-enabled audit solutions by providing hands-on technical expertise across complex engagements.
• The role focuses on reviewing analytics workpapers, solving technical challenges, supporting solution development, and helping maintain high technical standards across the Analytics Centre. Working closely with analysts, senior analysts, and leadership, the successful candidate will provide practical support on complex data, analytics, automation, and technology-related matters.
• This role is ideal for a technically strong individual who enjoys working directly with data, solving complex problems, and supporting others through hands-on technical expertise.

Key Responsibilities

Technical Delivery Support

• Review analytics workpapers and supporting documentation.
• Provide technical guidance on complex analytics engagements.
• Assist analysts in resolving data, transformation, and solution design challenges.
• Support the development and enhancement of analytics, automation, and AI-enabled audit solutions.
• Help ensure outputs are technically sound, efficient, and aligned with established methodologies.

Data Analytics and Problem Solving

• Analyse complex datasets from a variety of client systems.
• Design and implement data transformation processes.
• Develop, review, and troubleshoot SQL queries.
• Investigate data quality issues and identify root causes.
• Support the development of scalable and repeatable analytics solutions.
• Contribute to technical problem solving across multiple engagements.

Technology and Automation

• Support analytics solutions built using SQL, Databricks, Python, Power BI, and related technologies.
• Assist with automation opportunities that improve efficiency and consistency.
• Provide technical input into AI-enabled audit solutions and emerging technology initiatives.
• Support the maintenance and enhancement of existing analytics assets and tools.

Knowledge Sharing

• Share technical knowledge and practical solutions across the team.
• Support analysts and senior analysts on challenging technical assignments.
• Contribute to development of reusable code, templates, and technical guidance materials.
• Help promote consistent technical approaches across engagements.

Required Experience

• 3-5 years of experience in analytics, data engineering, business intelligence, audit analytics, or a similar technical role.
• Strong experience writing and troubleshooting SQL queries.
• Experience working with large and complex datasets.
• Experience in data transformation, cleansing, and validation.
• Strong analytical and problem-solving skills.
• Experience supporting delivery within a professional services, consulting, audit, or advisory environment is advantageous.

Technical Skills

Essential

• SQL
• Data transformation and preparation
• Data quality analysis and validation
• Microsoft Power BI
• Advanced Excel
• Structured problem solving
• Analytics solution development

Highly Desirable

• Databricks experience
• Databricks certification
• Python
• AI and automation tools
• Data engineering concepts
• Audit analytics experience
• Experience working with large-scale financial or operational datasets

What Success Looks Like After 12 Months

The successful candidate will:

• Be recognised as a trusted technical resource within the Analytics Centre.
• Consistently support the resolution of complex technical challenges.
• Improve the quality and robustness of analytics workpapers and technical deliverables.
• Contribute to the development of scalable analytics and automation solutions.
• Strengthen the team's SQL, Databricks, and data transformation capabilities.
• Help reduce technical delivery issues through proactive review and support.
• Support successful delivery of complex and high-profile engagements.

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Description

Executive Summary & Position Intent

• The Senior Manager – Quantitative Risk Advisory & Technical Reference Expert serves as the primary quantitative brain and ultimate technical reference expert for the FRM Market Risk practice across Sub-Saharan Africa.
• Designed as a high-leverage technical buffer for the Partner, this individual assumes final accountability for complex hands-on model development, advanced validation execution, and mathematical sign-offs.
• The successful candidate will lead elite technical delivery teams across the region, transforming intricate mathematical and algorithmic frameworks into highly trusted advisory solutions for tier-1 financial systems.

Advanced Quantitative Frameworks & Multi-Asset Modeling

• Stochastic Modeling & Calibration: Build, validate, and calibrate advanced stochastic processes acrossCommodities, Interest Rates, Equities, and Foreign Exchange (FX).
• Embedded Derivatives: Serve as the definitive technical reference expert on the valuation and structuraldecomposition of embedded derivatives within complex corporate, structured wholesale finance, and projectfinance contracts.
• XVA & FRTB Implementation: Oversee the architectural design, mathematical calibration, and deploymentof complex valuation frameworks including Credit, Debt, and Funding Valuation Adjustments (XVA),alongside the technical execution of the Fundamental Review of the Trading Book (FRTB) standards.
• Structured Finance & Securitisation: Lead the quantitative assessment, cash-flow waterfall modeling,tranche structuring, and portfolio risk evaluation of securitisation structures and asset-backed instruments.

Banking Book Risk & Financial Reporting Precision

• Balance Sheet Risk Analytics: Drive granular analytics for Interest Rate Risk in the Banking Book (IRRBB),including sophisticated behavioral modeling for non-maturing deposits (NMDs), prepayment pipelines, andimplicit optionality.
• CSRBB Architecture: Define and execute quantitative modeling for Credit Spread Risk in the Banking Book(CSRBB) to ensure highly accurate risk capturing for market-driven spread movements.
• Technical Audit Assurance: Lead the quantitative support function for large-scale external financial audits.Act as the technical expert on the valuation and accounting treatments under IFRS 2 (Share-basedPayments), IFRS 13 (Fair Value Measurement), and IFRS 9 (Financial Instruments, including complex macro-hedge accounting frameworks).

Production Engineering, Systems, & Leadership

• Algorithmic Governance: Maintain complete code-base control and code-review integrity across the team’s production-grade libraries, maintaining a heavy development and testing ecosystem built in Python and C++.
• Enterprise Vendor Platforms: Ensure quantitative financial models map seamlessly into advanced risk infrastructure and enterprise treasury platforms, demonstrating strong hands-on familiarity or alignment with Murex and CompatibL architectures.
• Client Management & Growth: Manage senior technical relationships directly with the quantitative divisions, risk committees, and treasury departments of leading commercial banks, top-tier investment banks, and prominent insurance firms across South Africa.
• Pan-African DFI Delivery: Lead cross-border quantitative advisory executions for leading Development Finance Institutions (DFIs) and financial entities across the African continent.
• Talent Cultivation: Directly mentor, train, and manage quantitative analysts and graduate recruits coming through specialized academic pipelines.

Minimum Candidate Profile & Strict Filters

• Education: Master’s Degree (MSc/MPhil) or PhD in Financial Mathematics, Mathematical Finance, Quantitative Finance, or a deeply quantitative equivalent (e.g., Physics, Computer Science/Electrical Engineering with finance alignment) from a premier institution.
• Certifications: Active professional designations from globally recognized risk bodies, specifically PRM (PRMIA) or FRM (GARP), are highly preferred.
• Experience: 6 to 9 years of deep, hands-on institutional experience embedded within Model Development (Model Dev) or Model Validation divisions inside the Corporate and Investment Banking (CIB) units of leading domestic or international banks, or elite advisory practices.
• Technical Toolkit: Expert-level mastery of object-oriented programming for quantitative financial architectures using Python or C++. Flawless theoretical grounding in stochastic calculus, numerical methods, linear algebra, and Monte Carlo engine construction.