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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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Key Purpose
- To fulfil a pivotal role within a software development team that designs, develops and maintains the systems for Discovery’s dynamic Life Insurance business.
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 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 are 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
Intermediate knowledge of:
- Applicable programming disciplines and languages. Refer to technical competencies list.
- Data modelling and design of database structures
- Unit Testing
- Systems Integration testing
- SDLC methodologies
Behavioural Skills:
- Action orientated go-getter, hungry to learn and add real value.
- Self-motivated.
- Driven by a sense of responsibility and ownership.
- Structured and analytical problem solver: Obsessive about finding solutions to problems.
- Able to plan, organise and prioritize own work.
- Attention to detail.
- Able to multitask.
- Highly adaptive and flexible to a changing environment.
- Able to work independently, but also as an effective member of a Team: reliable, works actively with others towards common goal, communicates constructively, shares information, knowledge and experience, treats others in a respectful and supportive manner.
Education and Experience
Essential:
- 5+ years’ experience in software development
- IT related Degree or Diploma (BSc/BTech or similar).
Advantageous:
- Formal software development qualification(s), such as Object-Oriented Analysis & Design.
Key Technical Competencies
General:
- Version control (GIT)
- UML and modelling tools (Enterprise Architect, etc)
- SDLC methodologies (Agile, Waterfall, DevOps, etc)
- SQL
Java:
- Java programming language
- Java EE
- JBoss EAP (or similar Application Server)
- Data layer (JPA, Domain Object Model, XML/XSD, JAXB, ORM frameworks, RDBMS and PL/SQL beneficial)
- Business services (EJB, RMI)
- Integration services (Apache Camel, REST / SOAP web services)
- Messaging systems (JMS, Tibco EMS, Oracle Advanced Queuing, MQ)
- Presentation layer technologies (JavaServer Faces, HTML 5, JavaScript, CSS3)
- Design patterns (DAO, Command pattern, MVC, etc)
- Testing methodologies (Junit)
- Code quality tools (SonarQube)
- Build tools (Apache Ant, Jenkins, etc)
- SDLC tools (Jira, BitBucket, etc)
go to method of application »
Key Purpose
- To fulfil a pivotal role within a software development team that designs, develops and maintains the systems for Discovery’s dynamic Life Insurance business.
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 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 are 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
Intermediate knowledge of:
- Applicable programming disciplines and languages. Refer to technical competencies list.
- Data modelling and design of database structures
- Unit Testing
- Systems Integration testing
- SDLC methodologies
Behavioural Skills:
- Action orientated go-getter, hungry to learn and add real value.
- Self-motivated.
- Driven by a sense of responsibility and ownership.
- Structured and analytical problem solver: Obsessive about finding solutions to problems.
- Able to plan, organise and prioritize own work.
- Attention to detail.
- Able to multitask.
- Highly adaptive and flexible to a changing environment.
- Able to work independently, but also as an effective member of a Team: reliable, works actively with others towards common goal, communicates constructively, shares information, knowledge and experience, treats others in a respectful and supportive manner
Education and Experience
Essential:
- 3 years’ experience in software development
- IT related Degree or Diploma (BSc/BTech or similar).
Advantageous:
- Formal software development qualification(s), such as Object-Oriented Analysis & Design.
Key Technical Competencies
General:
Java:
- Java programming language
- Java EE
- JBoss EAP (or similar Application Server)
- Data layer (JPA, Domain Object Model, XML/XSD, JAXB, ORM frameworks, RDBMS and PL/SQL beneficial)
- Business services (EJB)
- Presentation layer technologies (JavaServer Faces, HTML 5, JavaScript, CSS3)
- Testing methodologies
- SDLC tools (Jira or BitBucket)
go to method of application »
What you will do?
- The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant data profiling and manipulation methods including responsibility of understanding and owning business logic to create meaningful and useful data assets. Effective communication between a range of stakeholders is vital to ensure delivery.
- The ideal person has a passion for data and understand the life journey of data.
The role is based in Sandton, South Africa.
Position(s) are available at both an associate (3-5 years relevant experience) and a senior (5+ years experience) level with compensation and responsibilities reflecting your experience.
Core responsibilities include:
- Understanding internal lineage of data sets through close collaborations with technology and business intelligence teams
- Mining large structured and unstructured datasets for a multitude of companies with different data structures
- Ownership of data structures and relevant business logic by setting standards and vision for normalised data sets
- Creation and methods for development of scalable and re-usable data marts while understanding key business usage. This includes relevant testing structures to ensure high quality.
- Support the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible way
- Usage of data to find new insights to inform healthcare strategies and develop product – there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
- Performing basic data analytics ad hoc to extract core data insights
- Specification of data reports to derive business insights that will meaningfully change the environment
- Present data and model findings in a way that provides actionable insights
- Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
- Improve processes and data outcomes where opportunities arise
What you need to be successful
Behavioural skills:
- 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 co-ordination skills
- Technical understanding- a working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
- Proficient in SQL and advanced excel
- Working experience in Python is advantageous
- Proficient experience of the data lifecycle in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
- Proficient experience in generation of Datamart’s for healthcare
- Working experience in health outcome indices and metrics and measures
- Knowledge of databases and structures, governance and meta data standards including data architecture principals, ETL/ELT, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous
- Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.) is advantageous
Qualifications:
- A bachelor's degree in statistics, healthcare related, or similar.
- A master's degree in a related field preferred.
- Experience in healthcare analytics.
go to method of application »
Key Purpose
- To head up, lead and manage the 24-hour emergency services operations call centre and associated functions.
- Implement, drive and manage set strategy and targets for the area and provide a service of high standard and support to customers.
Areas of responsibility may include but not limited to
- Manage all service levels and standard operating procedures of the 24-hour emergency services call centre, and all associated functions
- Full line management function within scope of role
- Analyse trends relative to area
- Effectively manage operating costs within the call centre as per budget
- Effectively implement, drive and manage strategy and targets as set out for the business area.
- Develop, mentor and coach direct reports
- Escalated query handling from various stakeholders – internal and external
- Reporting to various stakeholders on business – internal and external
- Cultivate Discovery culture within business area
- Effectively lead and develop the team to enable growth, ensure career developments across all levels of staff within the team.
Education and Experience
- Matric (Essential)
- Minimum 5 years’ call centre (in- and outbound) experience (Essential)
- Minimum 5 years’ experience in a leadership role within an emergency services call centre (Essential)
- Experience in Emergency services environment – 5 years (Essential)
- Vehicle tracking – 5 years’ experience (Essential)
- Degree (Advantageous)
go to method of application »
Key purpose
To effectively coach eligible members in various programs ensuring that:
- The coaching program outcomes and objectives are achieved.
- Members achieve sustainable health and lifestyle improvements in addition to their personal key objectives.
Key outputs
- Applying various coaching techniques to allocated members to ensure program and personal goals are achieved
- Building positive relationships to ensure successful outcomes
- Effective planning and organizing of schedules and sessions to optimize program adherence and completion rates.
- Assist members with benefit navigation, referrals and activations to optimize benefits available to them under their scheme and non-scheme products.
- Health and Lifestyle education, tracking and monitoring to achieve sustainable improvements.
- Educate members on how to manage certain chronic diseases to avoid relapses, hospital admissions and disease progression with the necessary referral to the relevant health care professional and or other therapeutic interventions.
- Accurate tracking, reporting and capturing of coaching sessions.
- Meeting set targets: productivity, quality, customer satisfaction scores.
- Calling eligible members to enroll into the various coaching programmes
- Keeping up to date with industry updates and developments
- Applying professional verbal and written communication skills required through all coaching interactions with members.
Competencies
- Written Communications: Is able to write clearly and succinctly in a variety of communications settings and styles; can get messages across that have the desired effect.
- Self-Development: Is personally committed to and actively works on continuously improve him/herself; understands different situations and levels may call for different skills and approaches; works to deploy strengths; works on compensating for weakness and limits
- Action Oriented: Enjoys working hard; is action oriented and full of energy for the things he/she sees as challenging; not fearful of acting with a minimum of planning; seizes more opportunities than others
- Interpersonal Savvy: Relates well to all kinds of people—up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can defuse even high-tension situations comfortably
- Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect
- Learning on the fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything
- Time Management: Uses his/her time effectively and efficiently; values time; concentrates his/her efforts on the more important priorities; gets more done in less time than others; can attend to a broader range of activities
Qualifications and Experience
- Clinical qualification accredited with a health professions body
- Knowledge of DH and Vitality products, benefits, funding, and policy rules
- Coaching experience advantageous
- Excellent communication skills, written and verbal
- Proficient in MS Excel, Word, PowerPoint
go to method of application »
What you will do?
- The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant statistical methods within our healthcare products while effectively understanding and leveraging healthcare data. Effective communication between a range of stakeholders is vital to ensure delivery.
- The ideal person has a passion for combining statistics and data to find significant insights (statistically that is).
The role is based in Sandton, South Africa.
Position(s) are available at both an associate (3-5 years relevant experience) and a senior (5+ years experience) level with compensation and responsibilities reflecting your experience.
Core responsibilities include:
- Mining large structured and unstructured datasets for a multitude of companies with different data structures
- Usage of data to find new insights to inform healthcare strategies and develop product – there will be a broad range of products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
- Building and applying different statistical techniques to the business problem to ensure correct and robust insights
- Performing basic to advanced data analytics both ad hoc and in production
- Present data and model findings in a way that provides actionable insights
- Specifying statistical and analytical reports which use a range of outputs to derive business insights that will meaningfully change the environment
- Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
- Improve processes and data outcomes where opportunities arise
What you need to be successful
Behavioural skills:
- Communication skills across a wide range of stakeholders
- Ability to work cohesively in a team environment with key focus on statistics
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude focused on continuous improvement
- Ability to take and provide feedback to drive improved delivery
- Rigorous ability to problem-solve and optimise environment
Technical understanding- a working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
- Proficient in SQL, and advanced excel
- Working experience in Python is advantageous
- Proficient in basic and advanced statistical methods
- Working experience in risk adjustment and health outcome indices and metrics
- Working experience of data in at least 2 out of the following areas of expertise from clinical, operations, fraud, digital, sales and marketing, wellness, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous
- Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.) is advantageous
Qualifications:
- A bachelor's degree in statistics, healthcare related, or similar.
- A master's degree in a related field preferred.
- Experience in healthcare analytics.
go to method of application »
What you will do?
- The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant actuarial methods within our healthcare products while effectively understanding and leveraging healthcare data. Effective communication between a range of stakeholders is vital to ensure delivery.
The role is based in Sandton, South Africa.
Position(s) are available at both an associate (3-5 years relevant experience) and a senior (5+ years experience) level with compensation and responsibilities reflecting your experience.
Core responsibilities include:
- Mining large structured and unstructured datasets for a multitude of companies with different data structures
- Building and assessing actuarial and financial methods to support product builds – there will be a broad range of products to understand from clinical, operations, fraud, financial, digital, sales and marketing, wellness, etc.
- Performing basic to advanced traditional and non-traditional actuarial analytics in development/production
- Usage of data to find new insights to inform client healthcare strategies and internal product development
- Translation of data technical outputs into business usable outcomes that can impact the environment
- Specifying end to end analytical reports which use a range of outputs to derive business insights that will meaningfully change the environment
- Present data and model findings in a way that provides actionable insights
- Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
- Improve processes and data outcomes where opportunities arise
What you need to be successful
Behavioural skills:
- 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 co-ordination skills
- Technical understanding- a working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
- Proficient in traditional and non-traditional actuarial techniques in healthcare
- Proficient in the latest actuarial techniques, measures, indices and financial projection methods
- Proficient in healthcare benefit pricing, product pricing (reserving, risk rating, etc.)
- Working experience in SQL, and advanced excel
- Working experience in Python is advantageous
- Working experience in advanced statistics and health outcome indices and metrics
- Working experience of data in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Experience in Microsoft Azure (Databricks, Synapse, Data Factory, etc.) is advantageous
Qualifications:
- A bachelor's degree in actuarial science
- Ongoing studies in Actuarial Science or Qualified Actuary
- Experience in healthcare analytics.
go to method of application »
Key Purpose
- To convince existing and prospective clients to remain with Discovery Insure.
Areas of responsibility may include but not limited to
- Achievement of client retention targets
- Achievement of not taken up (NTU) targets
- Accurate, timely administration on relevant system
- Achievement of monthly product and soft skills knowledge targets
- Stakeholder engagement
- Adherence to risk and compliance requirements
- Teamwork, self-management and alignment with Discovery values
Education and Experience
- Matric (Essential).
- FAIS Credits - full qualification (Essential).
- RE 5 qualification (Essential).
- Class of business certificate (Essential and/or advantageous)
- Continuous Professional Development (CPD) certificate (Essential and/or advantageous)
- Minimum 2 years’ retentions experience in the short-term insurance industry (Essential)
- Minimum of 2 years’ sales experience (Essential)
- Degree (Advantageous)
Method of Application
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