Active Jobs at Discovery Limited

Key Purpose

• Providing the highest quality legal advice to relevant internal and external stakeholders regarding all legal related matters to minimize risk of the organization.

Areas of responsibility may include but not limited to

• Attend to and timeously resolve complaints on behalf of Discovery Life, Discovery Invest and the Discovery Retirement Funds to ensure the best possible outcome for these entities
• Pro-active analysis of legislation, regulatory updates and research on legal matters to ensure the best possible outcome for the various entities
• Providing sound legal advice to the different business units to ensure decisions are correct and justifiable
• Preparation of Legal publications, legal updates and guidance notes to business
• Review of Fund documentation, marketing brochures, publications, policy wordings etc. from a legal perspective
• Preparation of agenda packs for board of trustee meetings and sub-committees’ meetings
• Participation in Board of Trustees’ meetings and capturing accurate minutes
• Fulfil the role of Monitoring Person in respect of sound corporate governance for retirement funds including oversight of S13A breaches and S14 transfers
• Providing first line compliance support in respect of the duties of the Funds’ Principal Officer
• Providing oversight on the drafting of General and Special Rules for the Funds
• The investigation of death claims and providing recommendations to the Death Claims sub- committee
• Drafting responses to complaints received via the Pension Funds Adjudicator
• Drafting responses to complaints received via the office of the Ombud for Long term Insurance
• Building and maintaining relationships within internal business units and the relevant Regulatory bodies
• To conduct legal analysis and research on various legal matters

Personal Attributes and Skills

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

Addition attributes

• Excellent drafting skills
• Excellent communication skills
• Able to deliver quality results under time pressure
• Ability to present findings and reports at meetings with internal and external stakeholders

Education and Experience
Qualification

• Matric
• Bachelor of Laws qualification
• Post graduate qualification in insurance and/or financial services
• Admitted attorney with litigation experience (Advantageous)

Experience

• Minimum 5 years’ experience within the financial services industry dealing with employee benefits, investments and/or group risk
• Experience in drafting of contracts and fund rules
• Experience in the application of the Policyholder Protection Rules
• Experience with Group Risk Insurance cover

Technical Skills & Knowledge

• Knowledge of Retirement Fund Compliance and Governance
• Knowledge of the King IV Principles of Corporate Governance
• Sound knowledge of relevant legislation
• Long and Short-term insurance experience, including policy drafting and risk benefits related advice
• Knowledge of Long Insurance legislation
• Knowledge of the Pension Funds Act and related legislation
• Knowledge of Income Tax legislation

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Key Purpose

• Lead a highly specialized actuarial team providing product, market, and strategic insights to increase new business for Discovery Insure.  This involves the development and dissemination of effective sales strategies, compelling product positioning and tools for advisors & clients.

Areas of responsibility may include but not limited to

• Provide customised support for specific sales opportunities and new business initiatives
• Package and drive the roll-out of new products and benefits through the annual launch cycle
• Develop and present roadshow, PPD and training material
• Provide technical product support to distribution and servicing channels
• Develop compelling analytical content and product toolkits to demonstrate how the Discovery Insure value propositions deliver exceptional value to clients, advisors and other stakeholders
• Produce objective industry analysis and market insights which clearly position Discovery Insure as the authority on how the industry operates and the broader competitor landscape
• Utilise technical product knowledge, including understanding of competitors, to identify business opportunities
• Support R&D decision-making and strategy through distribution and client insights

Knowledge and Skills

• Modelling (Basic)
• Programming: VBA & SQL (Intermediate)
• Microsoft Office (Excel, PowerPoint, and Word) (Advanced)

Education and Experience

• Matric
• Actuarial Qualification – Good progress with Actuarial exams
• Qualified Actuary (Advantageous)
• Belong to the Actuarial Society of South Africa (ASSA/FASSA)
• At least 5 years business experience, with a proven record of innovation, delivery, and performance
• Collaborates mainly with the product development, MIS, pricing, distribution, and marketing divisions
• Works with advisors and broader stakeholders such as partners and media

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Key Purpose 

• To lead the talent ambition of attracting and recruiting the absolute best person for every role at Discovery 

Areas of responsibility may include but are not limited to 

• Benchmark and design best in class acquisition strategies, processes and systems in partnership with Heads of People, Center of Excellence/Expertise (COE) and business leaders. 
• Lead the talent acquisition and employer brand function working in close collaboration with Heads of People and Business Leaders to support them in shaping their acquisition and employer brand strategies. 
• Enable a memorable high quality candidate experience through the acquisition process: leverage data and feedback from surveys to continuously improve on the experience,  
• Elevate the company’s visibility as the employer of choice through amplifying the talent brand and EVP using the relevant sourcing and attraction channels. 
• Lead the talent acquisition function, COE and business teams to be brand ambassadors, identifying opportunities to build the Discovery brand;  
• Source and implement relevant tools to ensure the engagement of passive and active candidates for current and future business needs. 
• Develop and utilize metrics and reporting to ensure productivity and effectiveness of recruiting efforts. 
• Identify and manage external vendors and suppliers for candidate sourcing for the organization; contribute to vendor and agency selection contract negotiation and relationship management. 
• Build strong and dynamic relationships with the business and guide them on the agreed process and governance in place. 
• Lead and support the centre of expertise specialists and Business Unit Acquisition/Recruitment team members in building their capability, supporting growth and development.   

Key Competency Areas: 

• Values Driven:  
• Committed to integrity and ethics in business 
• Behaves consistently with Discovery Values 
• Optimistic:  
• Motivated by a positive future 
• Energized by challenges 
• Learns on the Fly: 
• Embraces the unfamiliar 
• Experiments to find solutions 
• Resilient:  
• Recovers quickly from setbacks 
• Grows from negative experiences 
• Instils trust: 
• Follows through on commitments 
• People Savvy:  
• High EQ with low ego 
• Works well with internal and external stakeholders 
• Drives Results:  
• Energizes self and others to achieve 
• Consistently exceeds goals 
• Problem Solver:  
• Looks beyond the obvious 
• Finds sustainable solutions 

Personal Attributes and Skills 

• Personally credible: Builds and delivers professionalism through combining commercial and HR expertise to bring value to the organisation, stakeholders and peers: 
• Considers how best to add value and ensures own expertise is sufficiently developed to do so.  
• Shows enthusiasm to broaden own experience, knowledge, skills and self-insight 
• Passes on own skills to others, sharing knowledge and experience readily. 
• Accepts and acts on feedback on own performance, reacting appropriately to both constructive criticism and praise.  
• Offers sensible, impartial advice and is considered as wise counsel.  
• Role Model: Acts with integrity, impartiality and independence, balancing personal, organisation and legal parameters.  
• Has a deep sense of own core values and operates within personal boundaries. 
• Consistently acts according to organisational and legal principles and agreed processes 
• Delivers to expectations and promises  
• Accepts responsibility and takes remedial and developmental action when mistakes are made.  
• Deals with personal data and information in a highly professional manner and within the boundaries of relevant legislation.  

Education and Experience 

• Relevant 3 year degree and / or post graduate qualification 
• Minimum 7- 10 years recruitment experience 
• Proven experience and successful track record in leading a Recruitment and/or Talent Management function 
• Experience in formulating talent acquisition strategies, processes and systems 

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Key Purpose

• A Junior Data Scientist that will help integrate and leverage natural language processing (NLP) and advanced large language models (LLMs) to enhance AI frameworks.  These innovative capabilities will enable unstructured autonomous decision-making processes, increase operational efficiency, and deliver personalized 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.
• 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.

Skills

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

Education and Experience

Education:

• Matric
• Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field.

Minimum Experience:  

• 1-3 years’ experience in a data science environment (Essential)
• Demonstrated ability to implement ML workflows at scale, particularly using LLMs (Advantageous)
• Experience in handling, analyzing, and extracting insights from large and complex datasets, particularly unstructured text data (Advantageous)
• Previous experience tuning open source and proprietary large language models (Advantageous)

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Key Purpose

• To develop unique, data-driven solutions to problems faced within the operational processes for Insure. This includes optimizing and generating efficiencies in claims, sales and servicing processes using statistical, actuarial and data science techniques. This role offers the opportunity to apply machine learning and generative AI to solve a large variety of business problems practically.

Areas of responsibility may include but are not limited to

• Developing supplier scoring and evaluation algorithms.
• Optimizing and automating supplier appointments and allocation.
• Using generative AI to optimize business processes.
• Procurement (supplier) analytics.
• Claims analytics.
• Servicing analytics.
• Enhancing Insure’s fraud models.
• Piloting and testing the latest AI innovations to generate efficiencies within Insure

Skills

• Strong problem-solving skills
• Analytical and technical skills
• Solution-oriented mindset
• Working with People
• Presenting and Communicating Information
• Deciding and initiating action           
• Writing and Reporting
• Creating and Innovating
• Curiosity

Education and Experience

Education:

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Strong mathematical/economics candidate (Essential)
• Good progress on actuarial exams, preferably academically qualified

Minimum Experience:              

• At least 1-3 years Research and Development experience within Insurance industry (Advantageous)