Current Openings at Guardrisk

Role Purpose    

• To process medical expense shortfall (gap cover) claims in accordance with stipulated service levels and the terms and conditions of cover as defined in the policy wording.

Requirements    

• Matric /Grade 12
• Basic medical qualification an advantage (e.g. nursing or similar qualification)
• FAIS Fit and Proper including RE5
• At least 2 years medical aid or gap cover claims processing and assessing experience
• At least 1 year insurance experience
• Basic knowledge of the local health and medical schemes industry, as well as an awareness of demarcation and legislation governing the local health industry.

Duties & Responsibilities    

• Receive new claims via email and accurately pre-capture them, including updating members’ personal details, onto the claims administration system (OWLS) on the same day or within 24 hours of receipt.
• Receive new Seamless claims via Secured sites, importing them into the system – including the updating of members’ personal details – onto the claims administration system (OWLS) on the same day or within 24 hours of receipt.
• Ensure claims data is successfully received from all contracted medical schemes in the correct electronic format and in accordance with agreed SLA’s.
• Interact with customers telephonically or via email regarding outstanding information or claims documentation on the same day or within 24 hours of receiving or capturing the claim.
• Accurately capture the clinical details of a claim on the claims administration system (OWLS) on the same day or within 2 working days of receipt.
• Prioritise claims where outstanding documentation has been received, ensuring these documents are captured within 48 hours of receipt.
• Assess claims in accordance with practice guidelines, policy wording, and protocols.
• Finalize and forward claims to the quality assurance team for approval or rejection.
• Ensure prompt handling and feedback on claims.
• Respond to capture queries within 48 hours of receipt.
• Detect and act on potential fraudulent claims.
• Maintain a high level of service when liaising with individual and corporate customers, intermediaries, binder holders, and colleagues.
• Provide support to the front-line team for inbound call overflows, query handling, complaints handling, and mailbox coordination when requested.
• Ensure the principles of Treating Customers Fairly (TCF) are delivered across all functions, with a specific focus on achieving TCF Outcome 6 (ensuring customers do not face unreasonable post-sale barriers to change product, switch provider, submit a claim, or make a complaint).

Competencies    

• Results and solutions driven.
• Strong focus on client centricity and service excellence.
• Strong problem-solving and decision-making capabilities.
• Organized and focused.
• Analytical skills with attention to detail.
• Resilient and able to work under pressure.
• Adaptable and self-disciplined.
• Good communication skills and the ability to professionally manage customers.
• Disciplined and reliable.
• A team player.
• Computer Literacy (MS Word, Outlook and Excel).
• Willing to go beyond the normal working day to achieve target service levels

Deadline:24th July,2025

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Role Purpose    

• To manage a portfolio of liability claims and recoveries and to provide ad hoc technical advice to stakeholders.

Requirements    

• Matric/Grade 12
• A law degree – preferable but not mandatory, subject to experience in Short-term insurance environment
• 60 FAIS Credits
• Computer literacy(MS Word, Outlook and Excel)
• At least 5 years experience, some of which should be in a legal practice environment or insurance recovery & liability environment
• Insurance qualification preferable
• RE qualification
• Intensive knowledge of liability claims and resulting litigation
• Intensive knowledge of recoveries
• Knowledge in administering and handling liability claims and recoveries

Duties & Responsibilities    

• Day to day reporting to the Team Leader
• Handling recoveries in accordance with claims handling procedures
• Facilitating and managing outsourced recoveries
• Handling and settling claims within stipulated time frames and as per SLAs / mandates in place
• Entering into settlement negotiations with third parties / third party representatives
• Negotiating with motor assessors, attorneys, other service providers  
• Providing technical advice on litigated matters
• Providing clients / brokers with the highest standard of service
• Providing clients / brokers with feedback on claims progress at all times
• Ensuring diary system is implemented and adhered to at all times
• Ensuring adherence to SLAs / mandates in place with regards to claims from mandated brokers
• Rendering of assistance from time to time with ad hoc tasks

Competencies    

• Good interpersonal skills
• Negotiation skills
• Communication skills
• Attention to Detail
• Ability to work under pressure
• Team player
• Good organizational skills

Deadline:31st July,2025

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Role Purpose    

• The primary purpose of this role is to deliver actionable insights, robust analytics, and data-driven support across Guardrisk Life’s portfolio. This is a mid-to-senior level Data Scientist role within the Data Analytics Life team, focused on unlocking business value through intelligent use of data.

Requirements    

• Bachelor’s degree in sciences or engineering with a strong focus on computer science, statistics, mathematics and/or actuarial sciences
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related quantitative field
• Postgraduate qualification in a relevant field advantageous
• Proficiency in Python and SQL is essential
• Beneficial: familiarity with DAX, Power BI, or VBA for reporting and automation tasks
• Solid understanding of data infrastructure, version control (e.g., Git), and software development principles
• 3–5 years of experience in data science, data analytics, or data engineering within a commercial or financial services environment
• Experience working with large datasets in SQL and Python, with the ability to extract, clean, and analyse data efficiently
• Experience with business intelligence tools, particularly Power BI, including data modelling and DAX measures
• Experience validating data and outputs across multiple sources/systems (UAT or product testing experience advantageous)
• Familiarity with insurance and/or actuarial data preferred

Duties & Responsibilities    

• Predictive modelling capability
• Familiarity with machine learning principles, with the ability to implement models when appropriate
• Critical analytical thinking and strong attention to detail
• Creative, out-of-the-box problem solving
• Ability to load, clean, and transform data from various formats (files, databases, APIs)
• Validate and enrich data using external/internal sources
• Feature engineering capabilities
• Ensure data version control and integrity for audit purposes
• Use BI tools (e.g., Power BI) to generate actionable insights
• Build automated, reusable Power BI reports for stakeholders across business units
• Present insights in a format that is both technically accurate and business-ready
• Understand operational insurance environments and the data flows within them
• Analyse and document business processes to unlock value from data
• Assist with user acceptance testing (UAT) for product implementations, ensuring pricing logic and system configuration align with specifications
• Conduct root cause analysis when test results deviate from expected outcomes
• Ability to present complex findings clearly to technical and non-technical stakeholders
• Proactively engage with business users to refine requirements and validate results
• Intellectual curiosity and drive to continuously learn new tools, frameworks, and domain knowledge
• Ability to understand and break down insurance processes and translate them into business and data requirements
• Identify opportunities for process automation
• Understanding of insurance and product lifecycles is advantageous; willingness to learn sector-specific concepts is essential

Competencies    

• Data Mining
• Stakeholder engagement and Teamwork
• Data Visualisation and Communication
• Self-Awareness and Insight
• Programming and Logical Thinking
• Diversity and Inclusiveness
• Strong self-organization and time management
• Self-starter with the ability to manage deadlines, escalate blockers, and deliver high-impact work with minimal supervision
• Comfortable working independently or collaboratively in a team
• Effective collaboration across technical and non-technical teams
• Analytical creativity and problem-solving mindset
• Clear and concise communicator
• High attention to detail

Deadline:24th July,2025

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Role Purpose    

• You will play an integral part at Guardrisk Life, working in a unique environment along with our clients and internal teams to review new or changing products. This role includes product development work on a variety of products, as well as working on multiple other facets of the solutions, working with clients, structuring of deals and solving interesting problems in the business.

Requirements    

• Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field
• Candidate must be making good progress with their actuarial exams
• Nearly qualified candidates will be an advantage
• At least 3 years’ life insurance working experience
• Product development experience will be an advantage

Duties & Responsibilities    

• Assist with the development and design of new group and individual life products
• Assist with reviewing new and existing products in line with any regulatory and professional guidelines
• Assist with the review and (re)design of existing group and individual life products for existing clients
• Engage clients, reinsurers and internal stakeholders on technical matters

Competencies    

• Analytical thinking
• Innovative
• Collaborative
• Able to network with various stakeholders
• Excellent written and verbal communication skills
• Organised person with interpersonal skills
• Comfortable with different actuarial techniques
• Quick learner and self-starter
• Ability to adapt to change
• Thinking laterally to solve complex problems
• Ability to work accurately under pressure and meet deadlines

Deadline:4th August, 2025