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  • Posted: Jun 7, 2022
    Deadline: Not specified
  • Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
    Read more about this company


    Claims Capturer

    About the job

    Key Outputs

    • Daily assessing of paper or image claims. Collection, completion and returning of batches within stipulated times. Achieving of daily target on claims capture
    • Ability to analyze data High attention to detail. Accuracy. Production/Results orientated. Sense of urgency. Resourceful. Mature. Positive attitude. Confident. Flexible and versatile. Personal Integrity. Live Discovery Values.


    • Detail oriented with the ability to capture information accurately and timeously.
    • Daily assessing of paper or image claims
    • Collection, completion and returning of batches within stipulated times, achieving of daily target on claims capture
    • Ability to drive results by managing and organizing time to meet certain targets and deadlines.
    • Able to cope in a highly pressurized environment and maintain a sense of urgency.
    • Confidence and maturity to tackle goals with enthusiasm and tenacity.
    • Adapting and responding effectively to change when facing new challenges.
    • Upholding work ethics and values and adhering to standards and principals.
    • Positive attitude
    • Personal integrity
    • Accuracy
    • Flexible and versatile

    Qualifications & Experience

    • Matric
    • Data capturing experience
    • Proficiency in Microsoft Office


    • Knowledge of relevant legislation, regulations, agreements, acts and policies
    • Excellent knowledge of claims assessing in the medical aid industry
    • Good understanding of claims processes
    • Minimum 2 - 4 years in Health Insurance Industry
    • Knowledge of Paradigm/Magic 8
    • Familiar with Pinpoint protocols

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    Internship: Database Administrator

    Key Purpose

    Vitality Group is looking for an Intern Database Administrator. The selected candidate will become a member of the Database Administration Team and responsible for managing databases in a cloud (AWS) environment and application SQL code. S/he will be working closely with the Senior Database Administrators and SQL Developers. This junior role requires an individual who thrives under pressure and is willing to learn.

    Areas of responsibility may include but not limited to

    • Administer databases and SQL code by the Vitality Group standards and policies.
    • Conduct database health checks and query optimization Initiatives and assist the team in troubleshooting and resolving database-related issues.
    • Determine, enforce, and document database policies, procedures, and standards.
    • Implement database changes/deployments and apply new patches and versions when required.
    • Administration of databases throughout the development and production lifecycles.
    • Provide support to development and maintenance support teams.

    Personal Attributes and Skills

    • Values Driven
    • Optimistic
    • Learns on the Fly
    • Resilient
    • Instils Trust
    • People Savvy
    • Drives Results
    • Problem Solver
    • Communicates effectively

    Education and Experience


    • A completed BSc Degree or Diploma in Information Technology/Computer Science/Informatics is essential.

    Knowledge and Experience

    • 0-1 year of experience is required.
    • The candidate must be proficient with technology and willing to learn.
    • The candidate must be familiar with one database technology software, Postgres or Oracle, and have little SQL experience.
    • Problem-solving skills and ability to think algorithmically.
    • Ability to adapt quickly to an existing, complex environment and learn new technologies as needs arise.

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    Internal Auditor

    Job Purpose

    The successful candidate will be responsible for completing audits for Discovery (Discovery Health, Vitatlity RSA and Vitality Group) and providing feedback on the outcome. The successful candidate must have a drive, sense of urgency and work flexibility

    Key Performance Area

    • Awareness of the IIA International Professional Practices Framework (IPPF), Code of Ethics and Standards
    • Perform audit in line with Audit Methodology and Audit Software requirements
    • Assist Senior Internal Auditor in preparation of engagement letter
    • Document systems description for the scope areas identified within the engagement letter
    • Obtain approval from business for documented system descriptions
    • To review the system established to ensure compliance with those policies, plans, procedures, laws, regulations and contracts which could have a significant impact on operations and reports
    • Completion of the Audit Checklists and overall maintenance of the Pentana Audit File (in line with Audit Methodology).
    • Document risks and controls for the scope areas identified within the engagement letter
    • Obtain approval from business for documented risks and controls
    • Prepare test procedures for adequate controls
    • Perform fieldwork testing
    • Draft working papers in line with GIA methodology
    • Provide feedback to Senior Auditor / Audit Management regarding progress on activities
    • Advise Senior Auditor / Audit Management immediately of any problems experienced on audit sections
    • Escalate cases where feedback is not received
    • Produce finalised working papers and evidence for all components of work, as per standards set in the Audit Methodology
    • Confirm errors / control weaknesses identified with business prior to drafting observations
    • Draft observations for confirmed errors / weakness and rate observations
    • Format first draft of report prior to review by the Senior Internal Auditor / Audit Management
    • Assist Senior Internal Auditor in ensuring that the management comments and agreed actions provided are appropriate
    • Update Audit Software with all required information and sign off working papers
    • Clear Audit Management / Senior Internal Auditor review / coaching notes (sign off)
    • Completion of mini appraisals for each audit performed within 2 weeks of final audit report being issued.
    • Timely capturing of billable time, proactively managing output and productivity of 90%
    • Share business related knowledge with team.
    • Implement training and learnings within audit work, to ensure continued enhancement and quality.

    The following qualifications are a requirement:

    • National Diploma Internal Audit / B Degree or equivalent qualification (with Accountancy and / or Auditing as majors
    • CIA or studying towards CIA


    • 2+ years of experience - Essential
    • Health Insurance experience - Advantageous

    Internal Knowledge And Experience

    • Discovery Health Product knowledge (Scheme and benefit rules) – Advantageous
    • Regulatory knowledge (Medical Schemes Act and Gap Cover {Short Term Insurance}) – Advantageous
    • Pentana Audit Software – Advantageous
    • Proficiency in MS Suite – Essential
    • Excellent problem-solving abilities and / or wide internal network / business relations - Essential


    • Upholds ethics and values and demonstrates integrity
    • Takes initiative and works under own direction with the ability to make quick, clear choices which may include tough choices or considered risks
    • Shows respect for the views and contributions of others.
    • Strong negotiating and influencing skills.
    • Excellent communication skills. The candidate should speak fluently, have the ability to write in a well-structured and logical manner.
    • Demonstrates an understanding of different organisational departments and functions


    • Proficiency in the IIA International Professional Practices Framework (IPPF), Code of Ethics and Standards
    • Sets high standards for quality and quantity and works in a systematic, methodical and orderly manner.
    • Work independently
    • Adapts to changing circumstances.
    • Handles criticism constrictively and learns from it.
    • Microsoft efficient
    • Ability to draft reports
    • Analyse statistics

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    Data Science Analyst (Credit Risk)

    Job Purpose

    The Credit Acquisitions Management team is responsible for the development and implementation of credit granting strategies, tracking and optimizing these strategies and to make sure that they are relevant and effective. This requires expert analytics and the creation of optimal data assets to support monitoring, measurement and predictive model development to optimize key outcomes from a credit and client onboarding perspective.

    Areas of responsibility may include but are not limited to

    MI and reporting

    • Creating base data assets to enable monitoring, measurement and predictive model development to optimize key outcomes from a credit and client onboarding perspective
    • Prepare monthly performance review deck for senior management
    • Automation of daily/monthly monitoring reports pertaining to all elements of the credit origination journey via dashboards or other user friendly methods
    • Provide in-depth analysis focused on unpacking any concerning trends observed and recommendations on the possible solutions
    • Ad hoc analysis to support executive decision making

    Optimizing credit granting strategies

    • Simulating the impact of any changes/enhancements to existing strategies/decision rules
    • Automation of monthly strategy monitoring reports
    • Validation of existing and newly rolled out strategies to make sure that the system is executing the strategies as intended
    • Propose new strategies based on review of existing strategies through in-depth analytics to identify opportunities
    • Building of propensity models that will predict future outcomes

    Operations optimisation

    • Assist the Credit Operations team to develop MI that enables effective management of the area by using scientific measures that drive optimal credit assessment outcomes

    System Implementation

    • Work closely with the systems teams (architects & developers) to take a new idea/improvement all the way through the development life-cycle up to implementation and then to monitor and optimize the outcomes as new information becomes available
    • Assist in the design and scoping of new functionality
    • Support the testing of any new functionality
    • Create exception reports to ensure the implementation of changes are working as expected
    • Documentation of high-level business requirements

    Stakeholder engagements

    • Present high quality analytics at various committees within the Bank
    • Work closely with other analytical areas within the Bank (Sales, Customer Value Management, RnD) to assist on relevant projects and ensure alignment within the analytical community
    • Engage the support teams on issues relating to system incidents, implementation of new strategies/changes and help identifying the root cause of issues by interrogating the available data

    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

    • MSc/ BSc (Hons) in Statistics / Data science / Actuarial Science / Financial Maths / Applied Maths / Engineering
    • Minimum 2 years’ analytical experience in an analytical and data driven environment, preferably within a Credit Risk Space
    • Programming capabilities in SAS / R / Python / VBA / PowerBI
    • Creating dashboards & data visualizations
    • Experience in data manipulation and application of statistical tools like SAS and SQL
    • Skilled in Microsoft products, particularly PowerPoint, Word, Excel and Access
    • Retail banking experience is preferred

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    Marketing Consultant - Discovery Invest Marketing

    Key Purpose

    The Marketing Consultant partners with business and the Senior Marketing manager to formulate the marketing and brand strategy. The incumbent implements of the marketing plan with the objective of influencing targeted consumers to choose Discovery’s products and services and to achieve specific measurable business and marketing objectives.

    Areas of responsibility may include but not limited to

    • Provide content in support of the development of the marketing strategy for the Business Unit.
    • Understand Divisional/Business Unit objectives to ensure relevant implementation of plans.
    • Provide input on campaigns and activities for relevant marketing reports.
    • Coordinate tasks, resources and internal and external stakeholders to ensure the relevant, timeous implementation of the initiatives and campaigns per the signed off marketing plan.
    • Ensure relevant and impactful marketing and communications tactics and implementation.
    • Identify and engage with all relevant stakeholders across the Business Unit to ensure robust implementation of marketing initiatives.
    • Brief, get approval and manage timelines for any marketing material related to projects
    • Take accountability and responsibility for projects
    • Interact with operational business areas:
    1. Get approval
    2. Meet business needs
    3. Manage expectations of all stakeholders
    4. Maintain and build solid relationships
    • Understand financial principles including costs as it impacts the ability to formulate and execute relevant marketing plans/interventions/campaigns.
    • Ensure quality of outputs
    • Reflect on all projects and identify opportunities for continual improvement
    • Ensure all personal development plan activities are completed within specified timeframe.


    • Proven experience developing marketing plans and campaigns
    • Time and project management
    • Communicate very well in English both in writing and verbally
    • Convert technical information to audience appropriate communication
    • Critically evaluate communication elements
    • Influence and persuade people to get things done
    • Negotiation
    • Present and sell your ideas
    • Question processes, strategy and outputs
    • Strong project management, multitasking, and decision-making skills
    • Metrics-driven marketing mind with eye for creativity

    Education and Experience


    • Minimum 3-year undergraduate degree or diploma
    • Preferable: Communication or Marketing focussed
    • Minimum of 3 years-experience in Marketing, PR or Communication
    • Prior marketing experience in the investment industry is preferred


    • Discovery’s products and business processes
    • Various media channels, and specifically digital
    • Agency process and relationships
    • Print and production processes (including time lines and costings)
    • Critical elements of successful communication
    • Knowledge of how their role and the Discovery Invest brand fits into the bigger Discovery picture and single customer experience.

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    Actuary (Data Scientist)

    Key Purpose

    The Individual Life Analytics team is responsible for strategic and impactful projects for the business. The focus of this role will be to support development and implementation of data science projects in the Advanced Analytics (Data Science) function of the team. The role involves exposure to a wide range of business areas such as underwriting, claims, legal and other operations, as well as the wider Discovery Group.

    Areas of responsibility may include but not limited to

    • Mining large structured and unstructured datasets for data exploration to find new insights
    • Perform data investigations to inform operational efficiency and interaction strategies
    • Transform data into meaningful model inputs and data pipelines
    • Develop and refine predictive models such as fraud, underwriting and customer behavioural models
    • Support model implementation and monitoring of model performance
    • Further develop existing models and research new techniques to fully utilise the rich Discovery data universe
    • Participate in the wider Discovery Data Science community.

    Education and Experience


    • Matric with Mathematics
    • Honours Degree in either Actuarial Science, Data Science, Mathematical Statistics, Operations Research or Applied Mathematics with some experience in data science, computer science or regularly working with big structured / unstructured sets of data OR
    • Honours Degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining, machine learning or optimisation
    • At least 2 years of work related experience


    • 3-5 years of working experience as an Actuary in the Life Insurance industry
    • Master's Degree in Computer Science / Software Engineering / Data Science / Statistics / Operations Research / Applied Mathematics
    • 3-5 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
    • 3-5 years of working experience in Problem Solving and Data Analysis
    • Qualified / near-qualified actuary with recognised actuarial professional body, e.g. ASSA or IFoA
    • Experience in a big data environment such as Cloudera or similar


    • Intermediate to advanced SQL knowledge
    • Proficient in at least one of R, Python, Spark interpreters or similar

    Technical Skills and Knowledge


    • Intermediate to advanced SQL knowledge
    • Proficient in at least one of R, Python, Spark interpreters or similar

    Personal Attributes and Skills

    • Identifying and analysing trends
    • Adapting and Responding to Change
    • Results orientated and commercial thinking
    • Working with People
    • Deciding and initiating action
    • Applying Expertise and Technology
    • Proactivity and accountability
    • Advanced Proficiency in MS Word, MS Excel and MS Outlook
    • Analytical Skills
    • Statistical Skills
    • Creating innovating solutions to complex problems
    • Writing and Reporting

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    Data Scientist

    Key Purpose

    • To analyse large amounts of data to provide core business value and key insights and enhance data-driven business processes and decisions.

    Areas of responsibility may include but not limited to

    • Building models and developing algorithms to support new key initiatives, eg. better detect and understand driving actions, driver intent, forecasting driver behavior
    • Maintaining and improving driver scoring and analytics framework within AWS
    • Data mining and cleaning
    • Interpret and disseminate information via reports
    • Researching and prototyping new technologies and methods that are relevant to the team’s initiatives
    • Analysis, presentation and communication of findings and data in a way that provides actionable insights and can be understood by larger parts of the business
    • Providing business stake holders with relevant telematics data in a useable format
    • Comfortable working in Linux or MacOS environment
    • Write and test high quality Python code that will run in a production environment.  Familiarity with standard Python libraries


    • Programming experience in Python (preferred)
    • Visualisation tools and packages (eg. Seaborn, dash,
    • Experience with the Python data science stack is required (numpy, pandas, jupyter, scipy, etc)
    • Working knowledge of SQL
    • Comfortable working with Unix-based operating systems (especially working from the terminal)
    • Experience with AWS is advantageous
    • GIS experience is advantageous


    • Amazon Web Services – adv
    • Familiarity with machine learning packages i.e. Tensor flow, Keras, FastAI
    • Understanding of statistics and familiarity with statistical computing packages (eg. Scipy, numpy)
    • Experience in data mining, feature extraction
    • Modern machine learning techniques, in particular working with time series data, geospatial data, device data and natural language processing
    • Algorithm analysis and code optimization
    • Understanding of techniques required to work with extremely large datasets (larger than RAM)
    • Ability to work with both structured and unstructured data, and ability to combine data from diverse sources (APIs, databases, web-scraping, for eg.)

    Education and Experience

    • Matric
    • Masters or Hons in applied mathematics, engineering, physics, or computer science
    • Recent graduate (Honors or above)
    • Strong statistics and analytical skills
    • Prior programming experience required
    • Working and/or research experience is preferable, but not required

    go to method of application »

    Underwriter (Senior)

    Key Purpose

    To underwrite all cases for VitalityLife, our UK based Life Insurance company, within authority limits and all benefits taking into account medical, financial, territorial and vocational risks of new and existing business. To support dedicated Key Distribution partners and advisors through various communication channels. To underwrite more complex cases which could include medical reports, aviation questionnaires,etc. etc.

    Areas of responsibility may include but not limited to

    • To underwrite all cases within authority limits and all benefits taking into account medical, financial, territorial and vocational risks of new and existing business.
    • To support dedicated Key Distribution partners and advisors through telephone and email.
    • To underwrite more complex cases which could include medical reports, aviation questionnaires etc.
    • To analyse applications and to call for requirements and to underwrite cases within the Senior Underwriter’s limits.
    • To underwrite complex cases and to analyse medical reports etc. in order to ensure that the risk is correctly underwritten
    • To support and build relationships with key distribution partners and to ensure that all cases are correctly underwritten and that the key distribution partner gets superior customer service.
    • To deal with escalations and to ensure that cases are underwritten in terms of the underwriting rules and policies
    • To ensure that the thought process used in order to underwrite a particular case is synopsised so that other underwriters can understand the thought process.
    • To ensure that the correct risk rating is applied to business that is accepted and that uninsurable risks are declined
    • Apply necessary guidelines to ensure correct risk rating is applied to new and existing business
    • To liaise with all internal and external clients regarding risk applied or policies that are deferred / declined
    • To attending to enquires which would include written, telephonic, emailed or face-to face

    Personal Attributes and Skills

    • Faster than average pace
    • Above attention to detail, precise correctness towards work, ensuring tasks are met on time
    • Strong sense of discipline and duty
    • Major focus on detailed work
    • Deciding and initiating action
    • Applying Expertise and Technology
    • Analysing
    • Delivering Results and Meeting Customer Expectations
    • Adhering to Principles and Values
    • Persuading and Influencing
    • Coping with Pressure and Setbacks
    • Specialised work with efficiency, confidence and competence


    • MS Office (intermediate)
    • Analysis of Information (advanced)
    • Verbal and written communication (advanced)
    • MS Office (intermediate)
    • Analysis of Information (advanced)
    • Verbal and written communication (advanced)

    Education and Experience

    • Matric is essential (Maths, Biology/Life Sciences and English)
    • Medical Diploma/ experience is an advantage.
    • Insurance Diploma experience is an advantage
    • A minimum of 5 years working experience in an underwriting environment in the life insurance industry is essential.
    • Underwriting experience in United Kingdom may be advantageous.

    go to method of application »

    Head of Analytics

    What you will do?

    The role will be responsible to oversee a range of analytical teams from data analytics, data science, and clinical in South Africa and co-ordinate with technical heads who will be based in Singapore. The objective of the role is to ensure timeous, robust and accurate delivery of analytical products and frameworks. Effective communication between key stakeholders is vital to ensure delivery.

    The role is based in South Africa.

    Core responsibilities include:

    • Guide and lead a multi-disciplinary South African team to deliver on the vision of all analytical products
    • Responsibility for analytical team and delivery through effective management
    • Co-ordinate key issues needed for discussions with technical leaders based in Singapore
    • Contribute to overall analytical architecture, technology and software design, etc.
    • Technical input and guidance on best analytical approaches to technical problems
    • Close collaboration with operating lead to ensure effective operating model in South Africa
    • Co-ordination with technology leads on relevant dependencies and products
    • Co-ordinate large scale decision points relevant to analytical products
    • Co-ordination of technical leaders to ensure delivery of best in breed products
    • Communication across the organisation from staff to executive level

    Additionally, you will be required to contribution to the innovation and product creation process.  

    What skills do you need?

    Behavioural skills

    • Exceptional leadership and communication skills across a wide range of stakeholders
    • Ability to work cohesively in a team environment while balancing multiple priorities
    • High level of attention to detail, resilience, enthusiasm, energy and drive
    • Positive, can-do attitude focused on continuous improvement
    • Ability to take feedback and constructive criticism to drive improved delivery
    • Rigorous ability to problem-solve and optimise environment
    • Excellent management and co-ordination skills

    Technical understanding

    A deep understanding of the technical tools used in healthcare analytics is required as the bases for development of analytical products, as such the following core understandings are required:

    • Deep knowledge and design of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc.
    • Knowledge in basic to advanced risk adjustment and health outcome assessment frameworks
    • Knowledge of clinical tools including coders, groupers, and classifications
    • Knowledge of data science in the healthcare space 
    • Understanding of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.)
    • Understanding of fraud and operations environment
    • Medical cost management optimisation and outlier assessment frameworks
    • Practical experience in SQL, python, and advanced excel
    • Understanding of analytical and solution architecture on cloud.


    • A bachelor's degree in actuarial science, statistics, healthcare related, or similar.
    • A master's degree in a related field preferred.
    • Extensive experience in healthcare analytics.

    Method of Application

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