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

MI and Credit Reporting Analyst

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Bank

Discovery Bank is a bank like no other – a shared-value bank, designed with our clients in mind. We’re all about sharing the value that clients create when they manage their money well, back with them through exceptional interest rates and rewards. Our Vitality Money programme measures how well clients manage their finances, informs them of what it means to be financially healthy, and empowers them with the knowledge to get enhanced rewards for managing their money well. If you’re adaptable, a problem-solver, always questioning the way things are done, passionate about doing what is right, and obsessed with providing a quality service experience, we have a job for you where you can be your best in an environment that’s safe and nurturing.

Job Purpose

The Credit Management team is responsible for the management and strategy setting of the entire credit life cycle, including acquisitions, account management, collections & modelling and measurement. This necessitates the maintenance of data assets and the development of analytical capabilities to support the monitoring, measurement, and predictive model development necessary to optimize critical outcomes from a credit management perspective.  The Credit MI analyst plays a very important role in supporting the credit management team in all these activities.

Areas of responsibility may include but are not limited to:

Business reporting

• Run, maintain and automate all daily/weekly/monthly/ad hoc reports via dashboards or other user-friendly methods
• Work closely with the credit risk management team on the implementation and scheduling of new reporting requirements
• Provide weekly, monthly & quarterly monitoring of key risk indicators (KRI) metrics pertaining to credit risk management
• Ad hoc reporting including data extraction and analysis.

Internal governance reporting

• Prepare, optimize and automate all reporting for regular internal governance committee meetings
• Maintain, monitor & execute daily, weekly & monthly assurance reports

Data assets & dashboards

• Support the credit management team to create reusable data assets to enable monitoring, measurement and predictive model development
• Work closely with the Bank’s data warehouse team to ensure these get optimized & automated
• Monitoring, improving & optimizing existing data assets
• Monitoring, improving & optimizing Power BI dashboards as required by business

Personal Attributes and Skills 

• A keen interest in all things data – exploration, analytics and creating information from the noise
• Resourceful and tenacious
• Self-motivated
• Focused on driving results
• Detail-oriented
• Organised and process oriented; ability to manage time effectively
• Ability to convey complex data in a concise understandable manner and distil the key messages
• Strong problem-solving skills
• Ability to work effectively across varying levels of management and multi-disciplinary teams
• Strong verbal and written reporting skills
• Quantitative / qualitative analytical skills

Education and Experience

• BSc/BCom Computer Science / Statistics / Applied Maths / Computer Engineering
• Minimum 3-5 years’ experience in Data warehouse / MI team, preferably within a Credit Risk Space
• Experience in data warehousing & managing technologies
• Retail banking experience is preferred

Technical skills or knowledge

• Programming capabilities in SAP HANA (SQL) / SAS / MS SQL Server (SQL) / Python
• Creating dashboards & data visualizations in Power BI or similar tools
• Knowledge of SDLC, Unit Testing, Database structures, Technical Change Control
• Technical stack (database platform, data movement and reporting)
• Data transformation and transfer (ETL)
• Confluence – documentation of data assets and reports

Click here to apply

Financial Advisor

FINANCIAL ADVISOR ( SALARIED)

SANDTON

About Discovery
 

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

Key Purpose of the role

The role involves policy and benefit reviews to identify client needs. The Financial Advisor will ensure that clients are always aware of product enhancements that may benefit their existing or new need. The Financial Advisor will always conduct financial needs analysis and or assess risk appetite before recommending changes to their existing product structure and or fund portfolios.

Job Category

We are looking for a suitably experienced Financial Advisor to become part of our vibrant and dynamic sales team. This individual will consult with existing Discovery Life, Invest and Insure clients to offer them specialist advice on their current products, benefits and or fund selection. This role drives ongoing servicing of existing clients and as such is remunerated on a non-commissionable basis.

Key Responsibilities

Your tasks will typically involve:

• conducting in-depth reviews of clients’ financial goals, from risk protection to wealth creation
• conducting a financial needs analysis and preparing proposals best suited to meet individual clients’ requirements
• providing clients with information on new and existing products, benefits and services
• designing financial strategies
• assisting clients to make informed decisions
• reviewing and responding to clients changing needs and financial circumstances
• contacting clients with news of new financial products or changes to legislation that may affect their savings and investments
• Review client policies regularly to determine if adjustments are needed because of personal or financial changes.

Personal Attributes and skills:

• Strong Customer focus
• Networking skills
• Proactive engagement
• Service orientated mind-set is critical
• Strong Planning and organisational skills

Qualifications and Experience:

Minimum

• Wealth management qualification with at least 120 credits
• RE5 qualification
• At a minimum 2 years’ experience as a Financial Advisor

Beneficial:

• Understanding of Financial Planning
• Knowledge of insurance (short-term, health, risk and investment industry)

Click here to apply

Contact Centre Consultant (Talent Pool)

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

What is a Talent Pool?

In simplest terms, a talent pool is a database of candidates that have already been deemed qualified for particular positions and who can be offered roles as soon as they become available.

What does this mean for you?

It’s good news because it means, you will still go through the recruitment process (assessments, role plays and interviews) and if you meet our minimum criteria, will be next in line for consideration as soon as we require more staff.

Key Purpose

To deliver world class service to all Discovery Health Members, Providers, Employer groups, and Brokers by supporting and fully resolving their queries through various channels, primarily over the telephone.

Key outputs

The successful applicant will be responsible for but not limited to the following job functions: 

• Servicing all key stakeholders telephonically and via other servicing channels as required until the query has been resolved
• Servicing our members in a customer centric way to ensure that we live by our service principles
• Keeping up to date with product changes to ensure that all key stakeholders are accurately serviced
• Continuously staying abreast of all digital servicing tools within the business and ensuring that the functionality is fully understood
• Achieving and exceeding key performance metrics relating to service delivery

Competencies and Skills

Behavioural Competencies

• Delivering results and meeting customer expectations
• Presenting and communicating information
• Writing and reporting
• Analysing
• Deciding and initiating action
• Working with people
• Achieving personal work goals and setbacks
• Following instructions and procedures

Skills

• Excellent verbal and written communication skills;
• Excellent administration skills;
• MS Office and PC literate
• Time Management

Personal Attribute and Skills:

• Customer Centric
• Empathetic

Education and Experience

Education:

• Matric with Mathematics, Mathematics Literacy or Accounting with a minimum of 50%
• Having a achieved a minimum of 50% in English in Matric
• Additional: Any post matric qualification which replaces the above Matric requirements
• Basic MS Office Skills

Experience

• At least 12 months working experience in a customer services environment

Advantageous

• The Business Writing Skill

Click here to apply

Senior Data Scientist

Discovery Health

Senior Data Scientist

About Discovery 

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating to not only achieve financial success, but to ignite positive and meaningful change within our society.

About (Risk Intelligence)

The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures.

Key Purpose

In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic, and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes. The successful candidate must be motivated, productive and work well within a team.

Areas of responsibility may include but not limited to

• Lead the design, development, and deployment of LLM – and generative AI-based solutions that address large-scale and complex problems and materially drive the company’s global product offerings and strategy forward.
• Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.
• Conduct desktop research into the state-of-the-art in LLMs and Generative AI and apply findings to real-world applications (either requested by business or suggested by yourself).
• Conduct research and development of speech-to-text and audio-based language models, integrating with LLM pipelines where applicable.
• Conduct experimental research on the use of LLMs in real-world company applications to ensure that design and development decisions are made scientifically and optimize for and balance all business requirements. These include accuracy, scalability, efficiency, reliability, safety, and cost-effectiveness.
• Translate strategic direction into technical product definitions and roadmaps.
• Participate actively in internal and external communities discussing and designing policies for the ethical use of AI and ensure your team’s work meets ethical AI standards.
• Contribute substantially to a culture of innovation, leading the prototyping and development of novel methodologies and approaches. Provide strong thought leadership in this regard.
• Communicate complex technical concepts to executives and non-technical stakeholders effectively.
• Demonstrate strong emotional intelligence by understanding and uplifting team members and skillfully managing challenging situations with composure.
• Advise other teams in the business on best practice based on your experience.
• Mining large structured and unstructured datasets to find new insights to inform operational efficiency and ‘member- delight’ interaction strategies
• Research and application of the most up to date machine learning algorithms and AI techniques
• Present data and model findings in a way that provides actionable insights to business users
• Monitoring model performance

Personal Attributes and Skills

• Expert in data science programming languages such as R, Python, Scala
• Expert in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
• Hands on experience with Big Data systems will be preferred
• Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
• Ability to formulate problem statements and develop a plan for tackling the problem
• Strong ability to communicate findings and recommendations from data (visual, verbal and written)
• Production environment machine learning and AI
• A passion for data exploration and complex healthcare environment
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Ability to adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Education and Experience

• Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
• Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• A minimum of 3-5 years’ work experience in a data science position

Technical skills additional (advantageous)

• A clinical background or qualification (e.g., MBBCh/MD, Nursing, Pharmacy, or Allied Health).
• Deep understanding of clinical workflows, medical terminology, and healthcare coding systems (e.g., ICD-10, SNOMED-CT).
• Experience working with clinical datasets such as Electronic Health Records (EHR) or pathology reports.

Click here to apply

Developer (Junior)

About Discovery 

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Data Science Lab

The Group Data Science Lab (DS Lab) is expanding, and we’re looking for talented individuals to join our growing team. Our global team collaborates with partners such as Discovery Health Digital, Quantium Health, Risk Intelligence, and leading academic institutions such as the London School of Economics (LSE).

We operate across digital, clinical, wellness, and behavioural domains, leveraging terabytes of structured and unstructured data within a modern big data ecosystem. Our work spans a wide range of impactful and innovative solutions, including Personal Health Pathways (PHP), Vitality Sleep, and personalised member engagement through advanced communication and recommendation systems. We design and deploy recommender systems that drive tailored interventions, and build intelligent capabilities such as agentic AI for health operations and AI-driven customer support agents.

In addition, the DS Lab is actively involved in causal and behavioural health analytics, enabling a deeper understanding of member behaviour and driving evidence-based interventions that improve health outcomes. We continuously explore and apply emerging AI paradigms, ensuring that our solutions are not only innovative but also scalable, practical, and aligned to real-world impact.

The DS Lab follows a forward-thinking approach, continuously identifying new data opportunities and building scalable, future-ready solutions through platforms such as Vitality.AI. Within this environment, the AI Enablement team plays a critical role in operationalising, maintaining, and scaling AI/ML solutions, ensuring that models, pipelines, and platforms are production-ready, reliable, and continuously delivering value to the business.

Key Purpose

The Junior Developer supports the development, operationalisation, reliability, and continuous improvement of software platform, and AI/ML solutions, and data products. The role focuses on translating technical requirements into high-quality, maintainable code, while supporting the deployment, monitoring, and ongoing maintenance of machine learning pipelines and platform services. The role bridges development and operations by contributing to platform engineering, DevOps, and service management, ensuring that AI solutions are effectively delivered and sustained in production environments. This includes ensuring that systems are stable, scalable, production-ready, efficiently deployed through CI/CD pipelines, continuously improved, and aligned with business requirements and technical standards

Key outputs

The successful applicant will be responsible for but not limited to the following job functions:

Areas of responsibility may include but not limited to

Software Development & Test Automation

• Collaborate with Data Scientists, Architects, Analysts, and Platform teams to implement technical specifications using appropriate development languages (primarily Python and SQL) in alignment with established engineering standards and architectural patterns
• Develop high-quality, production-grade source code that adheres to DHS technical standards, leveraging existing system components, exposed services, and reusable sub-processes
• Build and maintain Python-based utilities and scripts to support operational workflows, including: Data quality checks and validation, log parsing and analysis, and automation of repetitive support and maintenance tasks
• Write and optimise SQL queries within Google Cloud Platform (GCP) environments to support production investigations, root cause analysis, data validation and reconciliation, ad hoc analysis and issue diagnosis
• Design, implement, and maintain automated testing frameworks, including unit tests, integration tests, end-to-end (E2E) testing for pipelines and services, and test data management
• Contribute to code quality, security, and compliance practices, including static analysis, linting, and secure coding standards
• Maintain and enhance technical documentation for: system and architecture documentation, code-level documentation, development guidelines, database schemas, structure updates, and rule changes
• Update and manage work items in Agile/DevOps tooling (e.g., Jira), ensuring traceability of changes and alignment to delivery processes
• Participate in pair programming, code reviews, and knowledge-sharing activities to promote best practices and continuous team development
• Support ongoing refactoring and optimisation of existing codebases to improve performance, scalability, and maintainability

Continuous Integration & Continuous Delivery (CI/CD)

• Contribute to CI/CD pipelines for automated build, test, and deployment processes
• Assist in managing configurations and environment setup
• Work with cloud platforms (primarily GCP) and containerised environments
• Support release processes with a focus on stability and zero-defect delivery
• Monitor pipeline health and troubleshoot failed builds or deployments
• Continuously build skills in cloud, DevOps, and AI/ML technologies

Platform Engineering & Operations Support

• Execute production deployments and verify the post-release health, stability, availability and responsiveness of deployed services
• Participate in the process of reviewing code for consistent application of standards, logic and

effective use of libraries and reusable aspects of the application.

• Find and report operational issues and execute configuration changes
• Coordinate with multiple platform teams to monitor system resources,
• Manage platform services alerts and respond to incidents escalated by the Incidents team.
• Conduct Root Cause Analysis (RCAs) for bugs, defects and other types of problems (including writing clear and concise incident reports and communications)
• Log issues in the appropriate issues tracking system.
• Conduct analysis on issues.
• Verify and validate build stability.
• Conduct end-to-end testing and fix any defects found.
• Review error logs and provide updates on fixes found in testing.
• Monitor CI/CI and AI/ML pipelines, diagnosing failed builds and deployments
• Understand the relationship between pipeline stages, environments, and production deployments, and retrigger rollbacks
• Maintain awareness of all pipeline components
• Participate in on-call rotations for IT Service Management and incident response and support

Personal Attributes and Skills

The successful candidate would need to have the following competencies:

Behavioural skills

• Strong learning orientation with a willingness to continuously build technical and domain knowledge
• Structured and analytical approach to problem solving and debugging
• Effective prioritisation, planning, and organisation of tasks
• Ability to work under pressure and manage competing deadlines
• Proactive, action-oriented mindset with a collaborative approach to teamwork

Core Technical Skills

• Programming: Python (primary) and SQL, with the ability to write clean, efficient, and production-ready code for data processing, automation, and backend services
• Computer Science Foundations: Solid understanding of data structures, algorithms, and software design principles, with exposure to object-oriented and functional programming concepts
• Data & Databases: Basic knowledge of relational databases (PostgreSQL, MySQL, SQLite), including data modelling fundamentals, and data validation
• Version Control & CI/CD: Practical experience with Git-based workflows (branching, pull requests, code reviews)
• Comfortable working in Linux/Unix environments, using command-line tools, shell scripting, and debugging application and pipeline issues via logs and monitoring tools

Advantageous Skills (Nice to Have)

• Exposure to application development paradigms, including microservices, monolithic, or full-stack/web applications (e.g., FastAPI, Django, React, Next.js)
• Familiarity with CI/CD pipelines and release processes (e.g., GitHub Actions, GitLab CI, Jenkins, Cloud Build), including automated testing, build validation, and deployment workflows
• Exposure to cloud-native and data platforms, including containerisation (Docker), orchestration concepts (Kubernetes, Helm), and data pipeline or workflow tooling
• Exposure to observability and monitoring tools (e.g., Datadog, Dynatrace, New Relic), including working with logs, metrics, and alerts for debugging and performance monitoring
• Familiarity with AI/ML ecosystems and tooling, including: Basic ML concepts and model lifecycle (training, evaluation, deployment), LLM platforms and tooling (e.g., OpenAI, Anthropic, Hugging Face, RAG concepts), and agentic and workflow frameworks (e.g., LangChain, LangGraph, n8n, crew.ai)

Education and Experience

The following requirements are Essential:

• Matric with Mathematics and English
• Relevant tertiary qualification (e.g., Computer Science, Information Systems, Data Science, or similar)
• Up to 1 year of experience in software development or related practical exposure (internships, projects)
• Foundational understanding of:  SDLC and basic testing practices, database design concepts and relational data structures, version control and technical processes, and working knowledge of Python and SQL (PostgreSQL, SQLite, or similar relational databases advantageous)

Click here to apply

Mass Market – Onsite Visibility Consultant – 1DP – Sandton

Key Purpose

To support onsite marketing and increased awareness at targeted employers, driving increased new business growth and retention.

Areas of responsibility may include but not limited to

• Interact face to face with Discovery Funeral members and potential members on site.
• Represent Discovery Funeral and fulfil the role of Funeral brand ambassador
• Assist with troubleshooting member queries relating to benefits, cards, products, new business etc
• As a technical product expert, be able to market and educate members on Funeral, on a one on one and group basis.
• Conduct product presentations to groups of potential members
• Assist on-site with marketing activations to attract and engage with potential new members, building interest in the brand and the product/s
• Engage with Discovery stakeholders in order to resolve queries
• Assist with new business implementations by engaging one on one with members on site

Competencies

• Values driven
• Competitive drive to work hard and perform on the job
• Positive and enthusiastic attitude
• Proactive and takes initiative
• Eagerness to learn
• Well-developed communication skills (oral and written)
• Ability to position and communicate messages clearly
• Presentable
• Convincing and can influence
• Resilient and persistent
• Well-developed interpersonal skills
• Good organisation and time management
• Good problem-solving skills
• Observant and detail orientated

Education and Experience

• Matric
• Marketing, administration, or business qualification (N6)
• Knowledge and understanding of Funeral Plans
• Knowledge and understanding of Stop Order Facilities

Click here to apply

AI Data Scientist

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Insure

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

Key Purpose

An intermediate Data Scientist that will help develop and integrate natural language processing (NLP), advanced large language models (LLMs), with a particular focus on the use of voice models, voice chat bots and conversational design.  These innovative capabilities will enable unstructured autonomous decision-making processes that involve voice, increase operational efficiency, and deliver personalized, audible customer experiences.

Areas of responsibility may include but are not limited to

• Project Contribution: By collaborating with contents specialists, data engineers and system architects, contribute to the deployment of solutions and delivery of projects from inception through to business adoption, with a particular focus on Voice AI.
• Model Development and Integration: Deploy robust and scalable LLMs that are integrated into AI frameworks, enhancing natural language processing capabilities.
• Advanced Data Retrieval Integration: Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets.
• Automation Workflows: Design and implement automation workflows that improve speed and accuracy of processes, reducing manual intervention and operational costs.
• Performance Metrics and System Maintenance: Develop performance metrics to consistently evaluate the efficiency and accuracy of AI models. Actively monitor and maintain these systems to ensure they remain effective and adaptable.
• Regulatory Compliance: Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines, preparing documentation and reports as required for regulatory bodies.
• Experimentation: Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance.
• Future Trends and Industry Insights: Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards.

Knowledge and Skills

• SQL and working with databases.
• Python for data science and machine learning.
• Competent with TensorFlow, PyTorch, NLP and LLM packages – Advantageous
• Familiarity with Azure services – Advantageous
• Familiarity with Databricks – Advantageous

Education and Experience

Education:

• Matric (Essential)
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.
• Honour’s or Master’s Degree in relevant field – Advantageous

 Minimum Experience:             

• 2-4 years’ experience in a data science environment.
• Demonstrated ability to implement ML workflows at scale, particularly using LLMs.
• Experience in handling, analysing, and extracting insights from large and complex datasets, particularly unstructured text data.
• Previous experience tuning open source and proprietary large language models – Advantageous
• Previous experience with Voice AI models and conversational design – Advantageous

Click here to apply

Finance Business Partner

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

Key Purpose

The Architect of Enablement and Financial Credibility. This role drives the “how” and “when” of technical execution while serving as the strategic liaison between the COE and Business Units. As a Chartered Accountant, you bring unimpeachable financial authority to systems conversations – translating business pain points into prioritized, value-backed solutions. You ensure that “Group Finance Systems Solution Enablement” delivers tangible business outcomes, freeing the Head to focus on long-term transformation and executive stakeholder management.

Key Responsibilities

Strategic Business Partnering

Trusted advisor to CFOs, Controllers, and FP&A leaders across Business Units; leverage accounting credibility to challenge requirements and shape demand

Finance-Led Solution Design

Apply deep accounting expertise to ensure OneStream configurations align with IFRS standards, consolidation logic, and financial reporting integrity 

End-to-End Delivery Leadership

Own the project lifecycle from requirement validation through UAT; ensure technical team meets committed deadlines and quality standards

Problem Structuring & Synthesis

Deconstruct ambiguous business challenges into structured, actionable solution designs; present complex trade-offs in financial terms that resonate with Finance leadership

Value Realization & Business Case Ownership

Quantify ROI, efficiency gains, and risk reduction for all major initiatives; track and report realized benefits post-implementation

Innovation & Enablement

Identify OneStream MarketPlace solutions, automation opportunities, and AI/ML use cases that advance the modern finance vision; pilot and scale innovations

Velocity Management

Balance speed with quality; ensure the COE maintains high delivery throughput without burning out the technical team or compromising financial controls

Cross-Functional Orchestration

Align Finance, IT, and business stakeholders around shared priorities; resolve conflicts using financial and operational data as objective arbiters

Qualifications and Experience

Mandatory: 

• Qualified Chartered Accountant (or equivalent) with 5+ years post-qualification experience
• 3+ years in Finance Transformation, Systems Implementation, or EPM Consulting, with 3+ years leading OneStream or equivalent EPM delivery teams 
• Experience in complex, multi-entity environments with sophisticated consolidation and reporting requirements
• Financial Expertise: Deep knowledge of consolidation accounting, intercompany eliminations, IFRS reporting, and financial close processes 
• OneStream Solution Design: Implementation methodology, MarketPlace solutions, and platform configuration
• Business Case Development: ROI modelling, cost-benefit analysis, and value tracking

Leadership Attributes

• Credible Finance Authority: You command respect in the CFO’s office because you speak their language and share their credentials
• Structured Thinker: You naturally deconstruct complexity into logical components (Problem → Analysis → Synthesis → Solution)
• Trusted Advisor: Finance leaders seek your counsel before making systems decisions; you influence without authority
• Velocity Driver: You create urgency without creating chaos; teams deliver faster because of your clarity, not despite it
• Financial Rigor: You instinctively question assumptions, validate numbers, and ensure systems decisions withstand audit and regulatory scrutiny

Click here to apply

Business Analyst (Senior)

Senior Finance Business Analyst 

Key purpose

Group Finance has established a Programme Management Office (PMO) to strengthen governance, prioritisation and delivery of finance initiatives across the function and the wider Group. We are seeking a Senior Finance Business Analyst to help shape initiatives from early concept through to delivery readiness by clarifying business problems, defining scope, assessing impacts and translating needs into structured requirements. The role will work closely with initiative owners and project managers to ensure finance initiatives are well defined, commercially sound and set up for successful implementation.

The successful candidate will also contribute to building consistent business analysis practices, templates and standards within the PMO as the capability matures.

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Key responsibilities

Initiative shaping and scoping

• Work with finance stakeholders to clarify problems, objectives and desired outcomes for proposed initiatives
• Translate high-level ideas into clear problem statements, scope boundaries and success measures
• Assess initiative readiness prior to entry into the delivery pipeline

Business case and impact analysis

• Develop fit-for-purpose business cases, including benefits, risks, dependencies and high-level resource requirements
• Perform impact assessments across finance processes, systems, controls and stakeholders
• Support prioritisation decisions through structured analysis and clear articulation of trade-offs

Process mapping and requirements

• Own the standard, quality and completeness of process mapping for initiatives and the Group Finance function
• Perform or facilitate process mapping (typically L2/L3) to ensure process visibility and shared understanding
• Translate business and process gaps into clear, structured requirements to support delivery

Delivery support and change enablement

• Work closely with Project Managers to maintain alignment between business intent and delivery execution
• Assess scope changes and support informed decision-making during delivery
• Support benefits tracking, adoption and post-implementation reviews

Capability contribution

• Contribute to the development of consistent business analysis practices within the PMO
• Act as a reference point for structured problem-solving and analytical quality
• Support the evolution of templates, standards and ways of working as the PMO matures

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Experience and skills

• Proven experience in a Business Analyst or similar role within a complex corporate environment
• Strong analytical and problem-solving capability, with the ability to structure ambiguous problems
• Solid understanding of finance processes, reporting, systems or controls
• Experience engaging with senior stakeholders and navigating competing priorities
• Excellent written and verbal communication skill

• Experience in finance transformation, optimisation or process improvement initiatives
• Exposure to finance systems or reporting platforms
• Experience working alongside PMOs or project managers
• Familiarity with governance, control or audit environments

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Personal attributes

• Comfortable operating in ambiguity and asking challenging questions
• Structured, disciplined thinker with strong attention to detail
• Confident, pragmatic and collaborative stakeholder style

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Qualifications

• Relevant degree (Finance, Accounting, Business, Information Systems or similar)
• Professional finance or analysis qualifications advantageous but not essential

Click here to apply

Business Development Manager – Cogence

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Cogence

Cogence is the first truly global discretionary fund manager in South Africa. It marries the expertise of Discovery, whose behaviour-change platform is the largest of its kind, and BlackRock, one of the world’s leading asset managers.

Using innovative and globally advanced technology, Cogence is the world’s first discretionary fund manager that fully models retirement solutions, taking health experience into account, and is here to elevate the client investment experience to levels that have never been seen or experienced before.

Cogence attracts smart, energetic, dynamic achievers who take initiative and ownership, and who thrive on constant challenges and high-speed change. This role aims to improve the flows into Cogence portfolios, amongst advisors who have both a primary & secondary relationship with external platforms (not Discovery Invest), by positioning Cogence as the ‘go to’ investment option for their clients

Key Purpose

Increase net inflows amongst independent financial advisors (large, mid-tier & small) writing on external platforms.

Responsibilities

• Have a strong existing network of IFA’s, Fund of Funds, Private Wealth & Tied Agency brokers.
• Build strong relationships amongst IFA’s, Fund of Funds, Private Wealth & Tied Agency brokers by creating the right level of activity.
• Implement the external platform sales strategy for Cogence
• Exceptional analytical, problem solving and research skills.
• Creative thinking and the ability to operationalise strategy.
• An ability to deal with complex issues and migrate between detail and high-level requirements.
• A drive and commitment to exceed expectations.
• The ability to influence and negotiate with impact across divisions and teams at all levels and with external partners.
• A deep understanding of business dynamics and challenges.

Preferred skills and qualifications

• Advanced written and verbal communication skills for executive-level internal and external delivery.
• A passion for personal development and growth with a high learning potential.
• A commitment to excellence.
• An ability to deal with ambiguity and continuous change.
• The ability to build strong relationships and network
• The ability to sell and market

Additional Attributes

• Strong Leadership skills
• Planning and organizing skills
• Client focus
• Resilience
• Good relationship building skills
• Interpersonal skills
• Problem solving
• Decision making
• Excellent verbal and written communication
• Strong numeric ability
• Organisational awareness

Education and Experience

• Industry related experience, with particular focus on the technical positioning and selling of local & offshore model portfolios and unit trust funds.
• A strong network of IFA’s, Fund of Funds, Private Wealth & Tied Brokers.
• Extensive technical and/or business experience with a proven track record of innovation, delivery and performance.
• A formal Finance/Commerce degree at least at an Honours level (or equivalent qualification provided that the candidate is technically sound in all aspects of Retail Asset Management sales & marketing).
• A minimum of 5 years of sales experience in the Asset Management industry.

Click here to apply

We wish you all the best with your applications