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  • Posted: Oct 14, 2026
    Deadline: Not specified
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  • OUTsurance is a customer-centric financial services company with a global foot print. We are vibrant, successful and values orientated with an awesome dynamic culture encapsulated by the ethos that clients and staff “always get something OUT.” Our success can be attributed, amongst other things, to the outstanding people that work for us.

     

    Retention Advisor

    Job Description

    • Our retention advisors are responsible for handling difficult calls. It is their responsibility to retain clients and make sure these clients remain part of the OUTsurance family.
    • Dealing with client queries and complaints on all levels in a competent, efficient and professional way, in accordance with the quality standards that are in place and in accordance with the values of OUTsurance.

    Qualifications

    • Minimum Matric qualification or equivalent qualification
    • FAIS accreditation is essential
    • Applicants that have been working in the financial services industry prior to December 2010, preference will be given to applicants with their FAIS Regulatory Exams (RE5) completed. Applicants without prior financial advice experience will not be prejudiced

    Additional Information

    Required Competencies & Personal Attributes:

    • Extensive Sales and Customer service experience is essential
    • Responsible to cross-sell existing policies while maintaining excellent customer service

    The following previous experience would be advantageous:

    • Call centre experience in client centric or sales environment
    • Experience in the Insurance and/or Short Term Insurance industry
    • Working in an environment where salary was linked to performance and/or commission structure
    • An ideal candidate will be able to align their personal work values to the OUTsurance

    Attributes:

    • Meeting and exceeding sales targets
    • Deadline and results oriented
    • Client service oriented
    • Attention to detail which will result in excellent work quality/standard
    • Resilient (must be able to push through and succeed in the face of adversity)
    • Enthusiastic and passionate about the job and the company
    • Effective planning and organising/work management skills
    • Adaptability (be able to adapt to different clients and work situations)
    • Integrity (Honesty is a core value of the company)
    • High tolerance for stress
    • Ambitious with drive to succeed 
    • Highly motivated individual driven by monetary reward and recognition
    • Client Service enthusiasts (going the extra mile for clients and company)
    • Must be able to work independently towards individual targets/goals

    Skills: 

    • Above average selling skills and ability
    • Great listening skills in order to respond appropriately to clients questions, concerns and complaints ensuring an awesome customer service experience
    • Excellent Interpersonal and communication skills
    • Excellent negotiation and persuasion skills to overcome objections
    • Solid computer literacy skills, such as excellent keyboard skills and being able to navigate around various computer applications, respond to emails etc.
    • Solid administrative skills in order to produce great quality service to clients
       

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    Data Scientist/Actuarial Analyst

    Job Description

    • This role offers the opportunity to work closely with Operational Management and various business stakeholders to drive data-driven decision-making and support the successful execution of strategic projects.
    • The successful candidate will be part of a dynamic analytics team, contributing to high-impact projects aimed at enhancing operational performance, delivering world-class cost ratios, and maximizing profitable premium growth.

    Responsibilities:

    • Passionate about linking our people, processes and systems to deliver awesome value for our staff, clients, shareholders and suppliers.
    • Building relationships and navigating a diverse range of stakeholders (IT, Digital, Actuarial, Operations) to deliver key results.
    • Achieve the above using our analytics toolset including:
    • Analytics reports and cubes
    • Work allocation models
    • PBS & Manager Bonus – Salary structures
    • Staff projections
    • In depth data analysis of the value chain
    • Translate analytical results into meaningful insights and actionable recommendations for decision makers
    • Build, maintain and improve predictive models to support business objectives
    • Participate in strategic projects aimed at improving operational efficiency and customer outcomes
    • The ideal candidate is highly analytical, naturally curious, and passionate about using data to solve business problems. They should be comfortable working with building analytical solutions and engaging with stakeholders across multiple business areas to drive meaningful business outcomes

    Qualifications

    • Actuarial science, Data science or Mathematical Statistics degree
    • Completion of CT Series of actuarial board exams (advantageous)
    • 2+ years of Data analytics work experience (advantageous)
    • Strong SQL and Excel skills
       

    go to method of application »

    Buildings Assessing Internship

    Job Description

    • The Claims department requires an intern to support and assist the Buildings Assessing team with day-to-day activities. We are seeking a motivated detailed orientated individual to join our team. This internship offers a valuable opportunity to gain hands on experience in the Buildings Assessing field. The ideal candidates must have a passion for people and delivering awesome service in a deadline orientated environment.

    Qualifications

    • Matric is a minimum requirement
    • Degree in Administration or equivalent

    Responsibilities

    • Liaising with Management regarding Assessor Claim allocations
    • Keeping track of Assessor appointments
    • Running Reports
    • Reconciling and processing payment to service providers

    Additional Information
    Skills and Competencies:

    The successful individual would need to demonstrate the below listed competencies at an advanced level:

    Skills and Competencies

    • Customer service oriented
    • Good communication skills (verbal and written)
    • Good interpersonal skills
    • Computer literate-MS Office
    • Organised, Self-disciplined and self-motivated
    • Deadline and results oriented
    • Attention to detail
    • Takes ownership and responsibility
    • Excellent administration skills

    Take note to qualify for an INSETA Internship program you need to

    • Be a South African citizen
    • Not previously on an Internship with INSETA
    • Be between the ages of 18 & 35
    • Unemployed in the last 2 months

    go to method of application »

    Data Engineer Auditor

    Job Description

    • The Data Engineer supports the Internal Audit function by providing independent assurance over the organisation's data landscape, including data infrastructure, data pipelines, data platforms, data quality controls, and data governance processes. The role focuses on assessing whether data is complete, accurate, reliable, secure, and appropriately governed as it moves across source systems, transformation layers, data warehouses, and reporting environments.
    • The Data Engineer combines strong technical data engineering expertise with an assurance mindset to evaluate the design and operating effectiveness of controls across the data lifecycle. This includes reviewing data pipelines, ETL/ELT processes, infrastructure configurations, transformation logic, reconciliation controls, and data quality monitoring processes to provide assurance over critical business and reporting data.
    • The role works closely with Internal Auditors, Data Engineering teams, Data Governance teams, IT, and business stakeholders to strengthen trust in organisational data and support the Internal Audit function's data-driven assurance strategy.
    • The Data Engineer Auditor will also where required support the Internal Audit function by applying data analytics, automation, and data‑driven techniques to enhance audit coverage, efficiency, and assurance quality.  

    Key Responsibilities

    Data Infrastructure Assurance

    • Provide independent assurance over the design, implementation, security, resilience, and availability of data platforms and infrastructure.
    • Evaluate controls relating to cloud and on-premise data environments, including monitoring, deployment, change management, backup, and recovery processes.

    Data Pipeline & Data Integrity Assurance

    • Assess end-to-end data flows, pipelines, and transformation processes to ensure the completeness, accuracy, integrity, and traceability of data.
    • Evaluate data movement, reconciliation, and lineage controls across source systems, data platforms, and reporting environments.

    Data Quality & Governance

    • Review the effectiveness of data quality controls, governance frameworks, standards, and ownership structures.
    • Assess compliance with internal policies, regulatory requirements, and industry best practices relating to data management.

    Data & Reporting Assurance

    • Evaluate data models, business rules, and reporting datasets to ensure information used for operational, financial, regulatory, and analytical decision-making is reliable and fit for purpose.
    • Validate the integrity of critical management and reporting information.

    Audit Innovation & Continuous Assurance

    • Develop and maintain automated audit testing, continuous auditing capabilities, and data-driven assurance solutions.
    • Support Internal Audit's adoption of modern data engineering, analytics, and assurance techniques.

    Data Engineering Standards & Advisory

    • Contribute to the development of data engineering standards, frameworks, and best practices aligned with the OUTsurance Data Strategy.
    • Provide assurance-related guidance to data and analytics teams on data quality, infrastructure, pipeline design, and governance practices.

    Role Impact

    The Data Engineer enables Internal Audit to:

    • Provide assurance over critical data platforms and infrastructure.
    • Assess the completeness and accuracy of data used for financial, operational, and regulatory reporting.
    • Enhance confidence in organisational data assets.
    • Identify risks within data pipelines and transformation processes before they impact business decisions.
    • Support continuous auditing and data-driven assurance.
    • Promote adoption of data engineering best practices aligned to the OUTsurance data strategy.
    • Strengthen governance, quality, and trust across the Group's data ecosystem.

    Qualifications
    Academic Qualifications

    • 3-5 years' experience in Data Engineering, Data Platform Engineering, Data Architecture, or related fields.
    • Bachelor's degree in Computer Science, Engineering, or a related field
    • Advanced SQL skills.
    • Strong understanding of data engineering principles and architecture.
    • Experience designing and reviewing data pipelines and data platforms.
    • Experience with data warehousing and dimensional modelling.
    • Strong understanding of data quality management and data governance.
    • Experience with cloud-native data technologies.
    • Understanding of DevOps, infrastructure automation, and monitoring practices.
    • Ability to independently assess data controls and identify risks impacting data integrity and reliability.

    Technical & Analytical Skills

    • Understanding and knowledge of key technologies:
    • Cloud solutions (Databricks, Airflow, Azure, Cosmos DB)
    • Synapse/ Solid
    • SQL
    • PowerBI
    • Experience with Data Governance.

    Communication & Professional Skills

    • Excellent written and verbal communication skills, with the ability to clearly explain what is relevant and important to audit stakeholders.
    • Strong organisational skills with the ability to manage multiple tasks and priorities.
    • High levels of drive and motivation, with a proactive approach to continuous improvement.
    • Creativity and innovation in developing practical, data‑driven solutions to improve audit processes.

    Key Attributes for Success in Internal Audit

    • Assurance-focused mindset.
    • Strong understanding of how data is created, transformed, stored, governed, and consumed.
    • Ability to think end-to-end across the data lifecycle.
    • Curiosity to investigate data anomalies and root causes.
    • Strong documentation discipline and audit trail awareness.
    • Ability to bridge technical data engineering concepts and Internal Audit assurance requirements.
    • Strong attention to detail and professional scepticism.
    • Ability to link data anomalies to audit risks and internal control implications.
    • Methodical, well‑documented approach to ensure audit work is repeatable and defensible.
    • Collaborative mindset with a service orientation toward the Internal Audit team.
    • Ability to think “upstream” about how data is created, transformed, and governed, not only how it is analysed.

    go to method of application »

    Interbound Sales Advisor

    Job Description
    Responsibilities
    Convert lead/quotes to sales in terms of the minimum quantity and quality targets that are in place including but not limited to:

    • Minimum monthly premium written
    • Average premium value
    • Nett conversion ratio of quotes to sales
    • Facility quality target
    • Cancellation ratio
    • Productivity
    • FDC (First day close)
    • Objection handling

    Qualifications

    • Matric
    • FAIS Regulatory Exam
    • Recognized Qualification depending on previous advice- giving roles

    Additional Information
    Skills and  Competencies

    Attributes

    • Sales oriented
    • Attention to detail/Quality orientated
    • Deadline and results oriented
    • Initiative and tenacity
    • Enthusiastic and passionate about the job and the company
    • Effective Planning and Work management
    • Teamwork/Collaboration
    • Judgement/Problem solving
    • Adaptability
    • Integrity Tolerance for stress

    Skills

    • Interpersonal and communication skills
    • Selling skills
    • Negotiations
    • Keyboard skills
    • Administration skills
    • Influencing
    • Practical learning
    • Excellent Telephone etiquette
    • Communication skills

    Knowledge

    • Sales Structure
    • Principles of Client Service
    • The workings of a call centre
    • Computer literacy skills
    • Product/Systems knowledge and/or potential to acquire such knowledge within a short space of time
       

    Method of Application

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