Active Jobs at Discovery Limited

Key Purpose

• To increase the sales of the Discovery Health product range through strategic consulting, business partnership and relationship management, superior client service and technical expertise.

Areas of responsibility may include but not limited to

• Strategic consulting to large, national intermediaries, guiding Health new business growth
• Drive and implement strategic new business initiatives with intermediaries and employers 
• Relationship management at Board, Executive and Senior Management level
• Manage national intermediary relationships, offering guidance and mentoring to BCs within the team to drive a national strategy
• Project manage complex, new business implementations from end to end.
• Project plan and participate in proactive sales and marketing initiatives
• Leverage off health relationships to trigger integration opportunities across the Discovery product suite
• In depth strategic reporting
• Industry, competitor and product expert
• Technical support with competitor crosswalks, industry analyses, technical product detail
• Relationship management with internal stakeholders and representation of Corporate Distribution in various forums
• Escalated, complex query resolution
• Keep abreast of competitor products, service offerings and industry developments

Competencies

• Strategic thinker & solution orientated
• Logical, analytical problem-solving ability.
• Excellent interpersonal skills.
• Excellent verbal and written communication skills.
• Ability to work independently.
• Ability to take accountability, responsibility, and ownership.
• Able to take initiative and exercise sound judgment and decision making.
• Ability to work in a highly pressurised, target oriented environment.
• Ability to deal positively with change and uncertainty.
• Strong business acumen.
• Strong sales and persuasive skills.
• Strong quality orientation.
• Good organisational skills.
• Proactive, self-motivated.
• Customer oriented.

Education and Experience

• 3-5 years medical scheme industry experience (required)
• Business degree (advantageous)
• RE5 (preferable)
• NQF5 in Wealth Management of Financial Planning / 120 FAIS credits (preferable)
• Knowledge of MS Office Suite
• Sales experience (advantageous)
• Knowledge of MS Office suite

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Key Purpose of the role

• This Learnership leads to a nationally recognised NC: Wealth Management NQF Level 5 qualification which consists of structured learning components combined with practical/workplace experience in the Financial Services industry.

Areas of responsibility may include but not limited to

• Wealth Management:
• Telesales, Administration, Data analytics, Compliance, lead prequalifying, Quoting, client servicing, claims, pre-sale underwriting and new business,

Personal Attributes and Skills

• Innovative/ critical thinking/ and problem-solving skills
• Good attention to detail and levels of accuracy
• Sets high standards for quality and quantity and works in a systematic, methodical and orderly manner.
• Time management and planning skills
• Ability to effectively prioritize and execute tasks in a high-pressure environment
• Ability to work independently and in a team orientated environment
• Service driven, a sense of urgency and a team player.
• Adapts to changing circumstances and handles criticism well and learns from it.
• Speaks fluently and writes in a well-structured and logical manner.

Education and Experience

• Grade 12 is essential.
• Maths (Minimum Level 4 – 50%)
• English (Minimum Level 4 – 50%)
• Maths Literacy (Minimum Level 5 - 60%)
• 2nd language (Minimum Level 4 – 50%)
• May have an incomplete tertiary (financial) qualification (advantage)

Specific Requirements:

• Not be engaged in post Matric studies or formal employment;
• Not have completed any previous Learnership.
• Be between the ages of 18 and 30 years;
• Have effective communication skills in the written & verbal English language;
• Possess basic computer skills mainly MS Excel & MS Outlook
• Only South African candidates by birth will be considered.

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Key Purpose

• Work closely with a passionate development team to design, develop and maintain solutions for a dynamic, multi-national company that sets the benchmark in its industry. Must be a team player and have the ability to work with both vertical and horizontal colleagues both in a formal and informal setting.

Areas of responsibility may include but not limited to:

• Planning:
• Perform a high-level impact analysis, establish Scope and provide estimates based on technical requirements
• Proactively liaise with all stakeholders. • Create required planning tasks in an SDLC tool and set due dates according to agreed milestones.
• Analysis and Design:
• Actively participate in the collaborative technical design process.
• Research and find effective solutions to technical issues that arise.
• Update development timelines based on final requirements.
• Liaise with the relevant subject matter experts where clarification is required.
• Development:
• Translate technical requirements into executable code without errors.
• Ensure optimally performing system code in line with technical specifications, following prescribed process, architecture standards and procedures.
• Ensure delivery within agreed timeframes.
• Conduct unit testing and fix any defects found within the agreed SLA.
• Escalate risks to the project early on.
• Quality and Testing:
• Run code through the automated code review tool, review errors with the technical lead and fix before committing to the code base.
• Perform peer code reviews to ensure consistent application of standards, logic and effective use of libraries and reusable aspects of the software.
• Develop and maintain reusable Unit Tests.
• Assist the Test Analyst in ensuring that a comprehensive test pack is produced, which includes all the required scenarios.
• Verify that the completed software meets the established standards and is fit for purpose.
• Review the risk / impact of defects found in testing, prioritize and ensure that the priority is accurate.
• Risk and Release Management:
• Conform to the Build and Release cycles.
• Provide timeous support to the Quality Assurance Team when issues arise during testing.
• Handle all outstanding defects.
• Production Support and Root Cause management:
• Ensure that the root cause of system errors is effectively analysed and prioritized for fixing.
• Proactively bring issues and problems to the attention of the team and propose solutions to solve them.
• Assist system users and the infrastructure teams with technical support issues.
• Team Collaboration:
• Adhere to the culture of communication and collaboration across all teams.
• Attend and participate in the regular team / project stand-ups.
• Actively mentor team members where required.
• Provide feedback at the regular 1-on-1’s with your leader.
• Proactively set goals, track them and address any concerns with your leader.
• Participate in Performance reviews with your line manager and project leads.
• Actively participate in internal up-skilling initiatives.
• Transfer knowledge and contribute to building a shared knowledge base.
• Personal development:
• Keep abreast of current technological trends and how these might be applied in the Discovery environment.
• Constant improvement of knowledge of the various applications, their functions and data models.
• General:
• Ability to communicate clearly, constructively and effectively. Able to follow and participate in technical, business process, and other discussions.
• Able to build strong business relationships with other members of the team and the business areas we support.

Personal Attributes and Skills

Knowledge – Processes:

• Design patterns
• Data modelling and design of database structures, including tools such as Enterprise Architect.
• Unit and Systems Integration testing
• SDLC methodologies (Agile, Waterfall, DevOps, etc) and tools (Jira, BitBucket, GIT, etc)
• Software Versioning
• SOLID Design Principles
• Clean Code Practices and Principles
• Systems Design

Advanced knowledge/experience – Technologies:

• Java programming language (Java 8 or later)
• Java EE
• Object Oriented Programming
• JBoss/Weblogic EAP (or similar Application Server)
• Data layer (JPA, Domain Object Model, XML/XSD, JAXB, ORM frameworks, RDBMS (Oracle/PLSQL and PostgreSQL beneficial)
• Business services (EJB, RMI)
• Integration services (JMS, Apache Camel, REST / SOAP web services)
• Messaging systems (Tibco EMS, Oracle Advanced Queuing, MQ)
• Presentation layer technologies (Java Server Faces, Java Server Pages, HTML 5, JavaScript, jQuery, CSS3)
• Design patterns (DAO, Command pattern, MVC, Factory, etc)
• JUnit or JMock
• XML knowledge
• JSON knowledge
• Build tools (Apache Ant, Maven, Jenkins, etc)

Personal Attributes:

• Empathic and curious self-starter who takes ownership and accountability and can work with minimal supervision – Most Important!
• Passionate about technology and development
• Results oriented with the ability to work under pressure and cope with multiple concurrent projects
• Patience, perseverance and problem-solving skills
• Detail oriented and organized
• Strong analytical and logic skills
• Abstract thinking to be able to deal with complexity by switching between detail and high-level perspectives
• Highly adaptable to accommodate changes in technologies, scope, emergent requirements and deadlines
• Excellent written and verbal communication skills

Education and Experience

• 3-year university degree in computer science or business informatics, or similar qualification, is highly preferable
• Experience in building and maintaining Java applications:
• 0-2 years -> Junior
• 2-5 years -> Intermediate
• 5+ years -> Senior

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Areas of responsibility may include but are 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
• Prototyping Natural Language Processing (NLP) and Large Language Model (LLM) business cases
• 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

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

Education and Experience (Junior Data Scientist role)

Essential:

• Matric with Mathematics
• Honours Degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics
• Demonstrable knowledge and experience in statistical modelling, data mining, machine learning or optimisation
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.

Advantageous:

• Master’s Degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics
• 1-2 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
• Experience in a big data environment such as Databricks, Kubernetes or similar

Knowledge:

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

Education and Experience (Actuarial Analyst role)

Essential:

• Matric with Mathematics
• Honours Degree or equivalent in Actuarial Science,
• At least 6 of the Foundation and Intermediate Technical subjects (A111 – A214) of ASSA, or equivalent, which should include A211 (CT1) and A213 (CT5).
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.

Advantageous:

• 1-2 years of working experience as an Actuarial Analyst in the Life Insurance / Financial Services Industry
• Demonstrable knowledge in statistical modelling, data mining, machine learning or optimisation
• Good progress towards qualifying as an actuary with a recognised actuarial professional body, e.g. ASSA or IFoA
• Experience in a big data environment such as Databricks, Kubernetes or similar

Knowledge:

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