Latest Jobs at Guardrisk

Role Purpose    

• The role will play an integral part at Guardrisk, working in a unique environment along with our clients and internal teams to review and sign off on new/changing products and pricing. This role includes technical pricing work, working on multiple other facets of the solutions, working with clients, structuring of deals, solving interesting problems in the business and management of the Pricing team.

Requirements    
Experience and Qualification:

• Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field
• Qualified Actuary
• Experience in life insurance pricing
• Experience with managing a team would be advantageous

Duties & Responsibilities    
Main Responsiblities:

• Support pricing strategies for new and existing group and individual life insurance products.
• Review and refine pricing models to ensure competitiveness and profitability.
• Develop robust technical pricing models.
• Ensure regulatory and professional compliance by reviewing new products against relevant guidelines.
• Contribute to the structuring and negotiation of new deals to optimize business outcomes.
• Lead and mentor the Pricing team, providing guidance to junior actuarial analysts.
• Engage with clients and internal stakeholders to communicate complex technical insights effectively.

Competencies    

• Analytical and out-of-the-box 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:30th October,2026

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Role Purpose    

• Work directly with business users and Product Managers to design, prototype and engineer reusable data and AI products on Guardrisk’s governed data platform, including ML models, AI-ready datasets and agents that automate data work.

What makes this different

• Combines data engineering, software engineering and applied AI
• Works in the business context, understanding how data is created, used and trusted, not only from a technical specification
• Automates the data lifecycle itself, from ingestion and quality to reconciliation and reporting, rather than adding manual workarounds
• Rapidly prototypes data and AI products with users and learns through deployment
• Designs agentic workflows for data and analytics use cases, with orchestration, human-in-the-loop controls and exception handling
• Connects data, models, APIs and existing systems on the governed platform
• Builds reusable data components, semantic models, feature sets, agent skills and tools for CoE use cases
• Makes sound design choices beyond one immediate use case, with reuse across Guardrisk in mind
• Partners with Technology on platform, ETL, security and productionisation
• Establishes the engineering practices, documentation and patterns that make Guardrisk’s data AI-ready
• Supports adoption and measures whether deployed products actually improve data trust, speed and use
• Expected seniority: Strong hands-on engineer with enough technical depth to engineer data products, models and agents, and enough product judgement to decide where AI adds value, where deterministic automation is better, and where human judgement or control must remain.

The role should have the potential to grow into broader product or product-architecture leadership.

• Scope boundary: AI and automation in the Data CoE means solutions whose inputs, outputs or runtime sit on Guardrisk’s data platform and data products, such as analytics, reporting, data operations, models, insight agents and natural language access to data. Automating business workflows owned by a business unit, such as claims handling, underwriting intake or finance operations, sits outside this role and is coordinated through the CDTO Front Door.

Requirements    
Qualifications

We’re looking for someone who can operate across data engineering, software and AI rather than specialising in only one of them.

• Bachelor’s degree in Computer Science, Engineering, Information Systems or a related technical discipline, or equivalent practical experience.
• Strong software engineering experience in at least one modern programming language, ideally Python, SQL, C# or similar.
• Practical experience building data pipelines, data-quality automation or analytical solutions.
• Experience designing and consuming REST APIs and integrating multiple systems or services.
• Hands-on experience building applications using large language models or generative AI APIs.
• Understanding of agentic concepts such as tool use, orchestration, retrieval, structured outputs, state and human-in-the-loop patterns.
• Experience taking solutions beyond prototypes into production or operational use.
• Ability to work directly with non-technical users to understand how they use data and translate that into a technical solution.
• Strong engineering fundamentals, including source control, testing, documentation, security and maintainability.
• Ability to communicate technical trade-offs clearly to both business and technical stakeholders.

Preferred qualifications

You don’t need to have experience with every technology below. We’re particularly interested in people who have gone deep enough in this space to understand what works in production and what does not.

• Hands-on experience developing AI agents, multi-agent or agentic workflow solutions, or ML models on enterprise data.
• Experience with agent frameworks, orchestration approaches or modern AI engineering toolchains.
• Experience with Databricks, Azure data services, lakehouse architecture or equivalent data platforms.
• Experience with Azure Data Factory, Logic Apps or Power Automate for data pipeline orchestration and alerting.
• Experience with the Microsoft Azure and Microsoft 365 ecosystem, particularly where AI and enterprise data intersect.
• Experience applying techniques such as retrieval-augmented generation (RAG), vector search, structured extraction into governed datasets and ML operations (MLOps).
• Experience with data modelling, semantic layers, data-quality frameworks, lineage or data cataloguing.
• Experience designing reusable data platforms, components, libraries or engineering patterns rather than only delivering one-off solutions.
• Experience implementing evaluation, observability or monitoring for ML and AI applications.
• Understanding of responsible AI, POPIA, privacy, security and appropriate controls for using data in AI solutions.
• Experience in financial services, insurance or another regulated environment.
• Evidence of being a builder and capability creator: someone comfortable starting with an ambiguous data problem, working with users, building something quickly and progressively turning it into a production-quality product.

Duties & Responsibilities    
About the role

• We’re building practical Data & AI engineering capability within Guardrisk’s Data CoE, and we’re looking for a hands-on engineer who wants to help shape how AI and automation work on our data.
• This is not a role focused on producing AI demos or building technology in isolation. You will work directly with business users and Product Managers to understand how data is created and used, find where data work is slow, manual or untrusted, and turn those opportunities into working data and AI products.
• You’ll combine data engineering, software engineering and applied AI to build everything from automated pipelines, quality checks and reconciliations to ML models, AI-ready datasets and agents that automate data work.
• Just as importantly, you’ll help us build the capability itself: reusable components, patterns and engineering practices that let AI solutions across Guardrisk run on trusted data.
• Guardrisk’s Data CoE is built around reusable data products, a governed platform and business-facing delivery. Technology builds and runs the platform, and the CoE builds data and AI products on it. The role focuses on AI and automation on Guardrisk’s data platform and data products.
• Automation of business workflows owned by individual business units is led elsewhere in Guardrisk.

What you will do

• Work directly with business users and Product Managers to understand, map and document how data flows through business processes.
• Identify manual data handling, quality gaps, reconciliation breaks and repetitive reporting that can be automated or augmented using AI.
• Translate data problems into practical data automation, ML and agentic AI solutions.
• Rapidly prototype with users, test ideas in the real business context and turn successful prototypes into robust solutions.
• Design and build AI agents and agentic workflows that reason over governed data, use tools and APIs, check quality, reconcile sources, document datasets and answer questions over certified data products.
• Apply LLMs, retrieval-augmented generation, tool use and structured extraction to CoE use cases, with evaluation built in from the start.
• Build conventional pipeline and reporting automations where deterministic automation is a better fit than AI.
• Integrate solutions with the governed data platform and with source systems, APIs and data services.
• Design appropriate human-in-the-loop controls, approvals, exception handling and escalation paths.
• Develop reusable semantic models, feature sets, data components and agent skills for data tasks rather than solving every problem from scratch.
• Work with Technology, Architecture, Security and other teams to take solutions from prototype through to controlled production use.
• Build evaluation and monitoring into models, agents and data automations so that we understand whether they are working as intended and delivering value.
• Document solutions, patterns and lessons learned so that the capability becomes repeatable across the Data CoE.
• Prepare AI-ready data, including curated, certified and retrieval-ready datasets, so that AI and automation solutions across Guardrisk consume trusted data rather than building their own.
• Contribute to the standards and engineering practices that underpin Guardrisk’s data platform and data products.

Competencies    

Core outputs

• AI-ready, certified data products and curated datasets
• Automated data pipelines, data-quality checks and reconciliations
• AI agents and multi-step agentic workflows for data, analytics and reporting use cases
• Reusable semantic models, feature sets and data components
• Human-in-the-loop and exception-handling patterns for data automation
• Working prototypes and MVPs
• ML models and analytical applications
• Evaluation, monitoring and operational controls for models and agents
• Deployment-ready code and technical documentation
• Reusable data and AI engineering patterns and standards
• Knowledge transfer that grows data, analytics and ML capability across the CoE and extended studio teams

Deadline:5th November,2026

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Role Purpose    

• The FNOL Claims Consultant is responsible for registering new claims received from brokers,  appoint service providers within the SLA and authorize Fast Track Claims.  This role requires excellent customer service skills, attention to detail, and the ability to work in a fast-paced environment.

Requirements    

• Education: High school diploma or equivalent (required). NQF Level 4 qualification in insurance
• Experience: At least 2 years of experience in customer service, insurance, or claims handling
• Industry Knowledge: Basic understanding of insurance policies, coverage, and claims processes is a plus.
• Office Based.
• Fast Paced Call Centre Environment.

Duties & Responsibilities    
Claims Intake:

• Receive new claims from the designated mailbox, claim to be registered within the SLA.
• Validate cover and appointment of Service Providers is all the information is available at registrations stage.
• Verify essential information, such as policy details, date and time of the incident, Incident Address, description of the loss, and contact information.
• Authorize replacement / repairs on Fast Track claims within claims mandate.

Data Entry and Documentation:

• Accurately enter claim details into the Ski system.
• Ensure all information is complete and consistent for further processing.

Initial Assessment:

• Appoint the relevant Service Provider on claims if all the information is available and cover is confirmed.
• Identify potential red flags, such as fraudulent claims or coverage issues.

Coordination:

• Route claims to the appropriate claims technicians or departments based on the type and severity of the loss.
• Collaborate with other teams, such as underwriting as needed.
• Collaborate and follow up with service providers.

Compliance:

• Ensure all claims are handled in compliance with company policies, regulatory requirements, and industry standards.

Follow-Up:

• Follow up with claimants to obtain missing information or documentation.

Competencies    

• Excellent verbal and written communication skills to interact with claimants and internal teams effectively.
• Strong customer service orientation with the ability to handle stressful situations empathetically.
• High level of accuracy in data entry and documentation.
• Ability to quickly assess situations and make decisions.
• Ability to prioritize tasks and manage time effectively in a fast-paced environment.
• Proficiency in using claims systems, Microsoft Office, and other relevant tools.

Deadline:1st November,2026

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Role Purpose    

• The work will consist of providing high quality, service driven and client focused reporting for Guardrisk Life Ltd, a licenced life insurer, part of the Guardrisk Group with ultimate holding company Momentum Group Ltd. Reporting responsibilities include preparation of all SAM returns, IFRS financial statements, group reporting packs, tax returns (including calculation of taxes payable), completion of all SARS related reporting and add hoc requests.  In addition, the role will also be responsible to perform the accounting function for a portfolio of clients.

Requirements    
Qualifications

• Bcom Accounting
• CA(SA)

Experience

• 2-4 years post article experience
• 2 years post article experience in the life insurance industry.
• Audit experience in life insurance industry.
• General understanding of industry, statutory guidelines and insurance law.
• Experience with calculation of five fund tax applicable to life insurance companies.
• Cell captive experience preferred.
• Experience preparing statutory reports, including SAM, SARB, NCR, SARS etc. (at least two years).
• Experience preparing IFRS 17 financial statements for life insurance companies.
• Good understanding of IFRS 17 principals preferred.

Duties & Responsibilities    

• Prepare SAM quarterly and annual returns.
• Prepare annual financial statements on an IFRS basis.
• Calculate, prepare and submit all SARS related deliverables including income tax returns, PAYE returns, dividend and interest withholding tax submissions etc.
• Preparation and submission of group reporting packs.
• Support portfolio accountants with technical queries.
• Preparation and approval of payment instructions.
• Identify and report where necessary or resolve if possible respective accounting or reporting issues.
• Portfolio support and management/servicing by working closely with the portfolio managers and other colleagues (especially the actuarial function).
• Special Projects assigned within the group.
• Contribute to the enhancement of systems and processes in order to enhance financial management with Guardrisk and to contribute to creating reporting efficiencies in order to simplify processes and reduce reporting timelines.
• Profit reporting for Guardrisk Life.
• Take responsibility for management of the year-end external audit process, as well as periodic internal audit processes.
• Perform accounting function for a portfolio of clients, including making payments and completion of the client trial balance.
• Provide technical support to portfolio managers, portfolio accountants and external clients.
• Continuously develop own expertise in terms of professional, industry and legislation knowledge.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas.
• Take ownership for driving career development.
• Build and maintain relationships with clients and internal and external stakeholders.
• Participate and contribute to a culture which build rewarding relationships, facilitates feedback and provides exceptional client service within the organisation.
• Ability to work in a team but also work independently.

Engage with clients in a client centric manner (Client Services)

• Provide authoritative, expertise and advice to clients and stakeholders.
• Build and maintain relationships with clients and internal and external stakeholders.
• Deliver on service level agreements made with internal and external stakeholders and clients.
• Make recommendations to improvement client service within area of responsibility.
• Participate and contribute to a culture which build rewarding relationships, facilitates feedback and provides exceptional client service.

Self-management and teamwork (People)

• Develop and maintain productive and collaborative working relationships with peers and stakeholders.
• Positively influence and participate in change initiatives.
• Continuously develop own expertise in terms of professional, industry and legislation knowledge.
• Contribute to continuous innovation through the development, sharing and implementation of new ideas.
• Take ownership for driving career development.

Manage budget and implement sound financial controls (Finance)

• Manage high risk and problematic financial issues in area of accountability and contribute to the development of policy.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.
• Implement and manage financial risk methodologies, techniques and systems and use to monitor and report on financial activities.
• Implement and provide feedback on the effectiveness of financial policy, practice and procedures preventing illegal, unethical or improper conduct.
• Investigate reported wilful acts of non-compliance to organisation policy and practice and report on findings.

Competencies    

Business Acumen

• Understands how the business operates, what the key issues and risks are that drives business success; and how they impact on the commercial viability of potential ventures and the profitability of the Group

Collaboration, performing and overseeing

• Prioritises the business interests of Guardrisk and invests in the success of the group by aligning effort across divisions.

Client/ Stakeholder Commitment

• Anticipates, meets and exceeds client’s/stakeholder (ie regulatory bodies and shareholders) needs by creating long lasting relationships that support the client value proposition, supports their financial wellness and ensures client centricity.

Impact and Influence

• Persuades, convinces, influences and inspires others, both within Guardrisk and externally to win support, loyalty and gain commitment to the purpose of MMI.

Drive for Results

• Drive a sense of urgency, focus, accountability, agility and execution to deliver business results.

Self-Awareness and Insight

• Manages self and relationships with others effectively, deals with ambiguity, uncertainty and pressure, and provides perspective in difficult situations.

Leads Change and Innovation

• Actively leads change, does what is right for the business and drives continuous improvement through innovation.

Diversity and Inclusiveness

• Is sensitive to individual and cultural differences and demonstrates humility and an openness to engage people from diverse backgrounds and cultures to the mutual benefit of all parties concerned.

Deadline:4th November,2026