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  • Posted: Oct 18, 2024
    Deadline: Not specified
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  • 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...
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    Operations Executive - HIV and Oncology Sandton

    Key Purpose:

    • To ensure that Area reaches or exceed all their deliverables and to ensure satisfaction on the part of DiscoveryCare with the service offered to them by optimising the area processes and functions.

    Key Outputs:

    The successful applicant will report to the Head of Discovery Care.

    Job responsibilities include among others the following:

    • Overseeing the success of the division by liaising with major stakeholders in the business.
    • Building effective relationships to create strategies and translate these into effective deliverables to ensure successful execution thereof.
    • Owning and chairing key forums with participants at an executive level.
    • Constant interaction with highly strategic thinkers and relationship building on an executive business level.
    • Developing strategic and operational plans to drive, lead, and represent all projects and key initiatives impacting the division.
    • Provide direction for the division through actively communicating and being a visionary leader.
    • Developing and generating appropriate reporting to business in respect of your division.
    • Developing and implement annual business, strategic and implementation plans.
    • Monitor the implementation of risk management strategies with the Division.
    • Keeping abreast with legislative and industry changes and how this affects your business units.
    • Analysing and problem solving by identifying key issues and relationships from a base of information.
    • Constantly challenging and shaping the status quo.
    • Effective decision-making by applying entrepreneurial knowledge and “out of the box” thinking and weighing up the risks involved.
    • To manage direct reports and to ensure that they are guided, coached and mentored to effectively manage their own teams.
    • To develop an operational strategy for the area based on the Strategic Risk Management strategy and to ensure that the operational strategy is effectively implemented and rolled out in the area.
    • To set and manage the budgets of the area and to report monthly on variances.
    • To identify areas where efficiencies can be created and to implement plans in order to optimise efficiencies in the area in order to deliver customers a great service and in order to meet all SLAs.
    • To build and maintain relations with all DiscoveryCare stakeholders

    Competencies:

    The successful candidate must demonstrate the following competencies:

    Role Specific Behaviours

    • Ensures accountability
    • Action oriented
    • Manages ambiguity
    • Attracts top talent
    • Business insight
    • Collaborates
    • Communicates effectively
    • Manages complexity
    • Manages conflict
    • Courage
    • Customer focus
    • Decision quality
    • Develops talent
    • Values differences
    • Directs work
    • Drives engagement
    • Financial acumen
    • Global perspective
    • Cultivates innovation
    • Interpersonal savvy
    • Builds networks
    • Nimble learning
    • Organizational savvy
    • Persuades
    • Plans and aligns
    • Being resilient

    Resourcefulness

    • Drives results
    • Demonstrates self-awareness
    • Self-development
    • Situational adaptability
    • Balances stakeholders
    • Strategic mindset
    • Builds effective teams
    • Tech savvy
    • Instils trust
    • Drives vision and purpose
    • Optimizes work processes

    Education and Experience:

    • Relevant Tertiary Qualification – Business related Degree
    • Nursing or Clinical Qualification
    • Minimum 5- 7 years’ experience on a managerial level dealing with People Management / Strategy roll out/ Key Accounts / Relationship Building.
    • Minimum 5 years’ experience within Discovery Health.
    • Extensive exposure within the Discovery health environment.
    • Proven track record of successful implementation of business process change projects
    • 2 years’ experience with managing strategic relationships
    • Minimum 1 year project management experience
    • Solid experience in relationship building with key players
    • Solid experience leading areas of 40+ employees
    • Business presentation skills

    Knowledge Required:

    • Understanding of corporate organizations
    • Understanding of Business Processes
    • High level of understanding of relationship management
    • Healthcare industry knowledge
    • Understanding of data and statistics
    • High level of computer literacy and MS Office:
    • Advanced Excel
    • MS Access (Intermediate)
    • MS PowerPoint
    • Discovery Product knowledge
    • High level of understanding of Discovery Health systems

    Personal Attributes or Competency Profile

    The Discovery Person

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

    go to method of application »

    Talent Pool - Senior Data Scientist

    Key Purpose

    • The Data Science Lab is a highly specialised and expanding team that tackles challenges in the health, life, and short-term insurance businesses, as well projects that cut across the whole of the Discovery Group. We are looking for individuals with 2-5 years of experience, for projects related to:
    • risk management through behavioural science and intervention (next best action) design 
    • combining traditional data (eg: wearable device, web & app logs, health & life insurance claims) with novel data sources in new ways
    • assisting with experimental design for product, rewards, marketing, communications, engagement etc
    • advising partner markets on how to customise and deploy locally built models
    • They will have the opportunity to work with cutting edge technology and advanced techniques to see their models used in real business applications. The innovative work environment means there are opportunities to shape new projects with a focus on helping insurance customers to lead healthier lives.

    Areas of responsibility may include but not limited to

    • Identify and build appropriate models to predict risk, sales and savings
    • Present data insights and model findings in a way that provides actionable insights for business stakeholders and senior executives
    • Mining and visualising large structured and unstructured datasets throughout the businesses to inform product design, risk management, customer interaction strategies, etc.
    • Following model implementations through to business adoption
    • Monitoring model performance and using feedback for improvement
    • Improving processes and data collections where opportunities arise
    • Running scientific experiments to evaluate different models in a reproducible way
    • Produce analytical work that is customer, business and staff focused

    Personal Attributes and Skills  

    • A creative and enthusiastic attitude to unearthing valuable insights and generating value for Discovery clients 
    • Ability to balance multiple priorities and to step back and see how analytics work fits into the wider business context 
    • Results driven, curious and able to work autonomously or within teams
    • Good time and task management skills
    • Ability to communicate results of analyses in a clear and effective manner
    • Aligned to Discovery values and core purpose 

    Education and Experience

    • Master’s or PhD degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science, Applied Mathematics or Engineering fields.
    • Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing 
    • Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems
    • Experience accessing and analysing data using language/tools/databases such as Python, R, SQL, etc.
    • Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
    • Good knowledge of Microsoft Office tools.

    Advantageous:

    • Some experience in working with big disparate sets of data and exposure to big data tools
    • The ideal candidate will possess a deep interest in the healthcare industry, particularly in leveraging behavioral science to promote disease management and prevention. Additionally, they should demonstrate a strong understanding of strategic risk management principles and their application across the healthcare value chain.

    go to method of application »

    Actuarial Analyst - Discovery Life

    Key Purpose

    • The purpose of this role is to assist the senior actuary with capital reporting responsibilities for Discovery Life and Invest. The key tasks include quarterly capital reporting to the Prudential Authority (PA), and contributing to the Own Risk and Solvency Assessment (ORSA), focusing on Pillar 1, Embedded Value (EV) and IFRS 17 risk metrics, providing insights that support management’s decision-making. Additionally, you will collaborate with teams across the business to enhance the capital management processes and strengthen the product offering.

    Areas of responsibility may include but not limited to

    • Perform quarterly capital reporting and submissions to the PA.
    • Engage with the PA on regulatory capital requirements and queries.
    • Support the ORSA process, particularly on Pillar 1 capital adequacy, Embedded Value (EV) and IFRS 17 assessments.
    • Participate in semi-annual valuation reporting as needed, with a focus on capital requirements.
    • Develop and maintain existing reporting models
    • Assist in improving the capital management framework and risk reporting processes.
    • Collaborate with cross-functional teams on various actuarial analytics and risk management projects.

    Education and Experience

    Essential:

    • Matric with mathematics
    • Bachelor’s / Honours degree in Actuarial Science or Mathematical Statistics from an accredited institution
    • Strong actuarial exam progress, must have completed at least 10 board exams.

    Advantageous:

    • Honours in Actuarial Science
    • SQL or other coding experience
    • At least 1 years of working experience as an Actuarial Analyst within the Life Insurance industry.

    Technical Skills and Knowledge

    • Intermediate proficiency in MS Word, MS Excel, MS Outlook.
    • Effective communication skills
    • Strong probem solving and analytical skills.
       

    Method of Application

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