Latest Jobs at King Price Insurance

Purpose of position:

• Managing and leading the insured recoveries team to continually improve on success ratios and monies recovered whilst ensuring continued improvement of customer service.

Responsibilities:

• Assisting the team with their day-to-day queries
• Authorising and finalising claims
• Ensuring that targets are met by working proactively with the team
• Dealing with client queries and complaints professionally and in line with company values
• Relationship management with other insurers
• Providing weekly feedback to legal managers
• Monthly reporting
• Coaching and training of staff
• Handling and monitoring performance-related issues as well as disciplinary matters

Requirements:

• Matric (essential)
• Minimum 6 years’ experience in short term insurance claims or legal
• Recoveries experience (advantageous)
• Management experience (advantageous)
• Working knowledge of Microsoft Excel

Skills and Attributes:

• Excellent attention to detail and quality oriented
• Strong problem-solving, decision-making and objection handling skills
• Deadline and results driven
• Ability to cooperate and communicate with all levels of management
• Strong people skills and client-oriented
• Excellent communication skills (verbal & written)
• Team player
• Show traits of resilience, integrity, ambition and passion
• Leadership qualities essential
• Live the King Price values
   

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Purpose of position:

• Managing and leading the liabilities team to continually improve customer service levels.

Responsibilities:

• Attending to allocation of new claims
• Managing liability payments and authorisation thereof
• Updating daily payment stats and data
• Attending to payment escalation responses
• Managing complaints and escalation emails
• Authorising and finalising claims
• Managing team performance to achieve targets
• Dealing with client queries and complaints professionally and in line with company values
• Managing escalations and relationships with other insurers
• Providing weekly feedback to legal managers
• Providing coaching and training of staff
• Handling and monitoring performance-related issues as well as disciplinary matters

Requirements:

• Matric (essential)
• Minimum 6 years’ experience in short term insurance claims or legal
• Liabilities experience
• Management experience (advantageous)
• Strong working knowledge of Microsoft Excel

Skills and Attributes:

• Excellent attention to detail and quality oriented
• Strong problem-solving, decision-making and objection handling skills
• Deadline and results driven
• Ability to cooperate and communicate with all levels of management
• Strong people skills and client-oriented
• Excellent communication skills (verbal & written)
• Team player
• Show traits of resilience, integrity, ambition and passion
• Leadership qualities essential
• Live the King Price values
   

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Purpose of position:

• Protect, enhance and maintain the organisation’s data environment through strong data quality controls, systems understanding, and the development of robust data and calculation frameworks.

Key Responsibilities

• Own and maintain the integrity of core datasets, ensuring consistent data quality, validation, and governance
• Design, document, and manage calculation frameworks
• Develop BI dashboards and reporting tools that provide reliable management insights, ensuring accuracy and alignment with business rules
• Collaborate closely with actuarial, operations, IT, and finance teams to streamline data flows and documentation
• Structure raw data into clean, auditable, version-controlled frameworks
• Optimise manual processes and develop automated or semi-automated scripts/tools where applicable
• Maintain a strong understanding of system architecture and how various data sources integrate across the organisation
• Support the business with management information, quality monitoring, and operational reporting
• Proactively identify inefficiencies, perform root-cause analysis and propose solutions to improve data processes end-to-end

Requirements

• Matric (essential)
• Tertiary degree in Data Science, Information Systems, Statistics, Mathematics or similar (advantageous)
• 1-4 years’ experience working with data systems, data quality, or BI/reporting environments
• Proficiency in Power BI, SQL, and Excel
• Understanding of data governance, data validation controls, and quality assurance methodologies (advantageous)
• Familiarity with insurance processes and operational data environments (advantageous)

Skills and Attributes

• Exceptional attention to detail and strong analytical capability
• Curiosity-driven and proactive in identifying inefficiencies, risks, and improvements
• Strong problem-solving mindset with the ability to translate business rules into structured logic
• Excellent communication and documentation skills - able to simplify complex data issues for stakeholders
• Strong organisational ability and a commitment to high-quality outputs
   

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Purpose of position:

• Support actuarial reporting and decision-making through data analysis, reserve calculations, regulatory capital assessments, investment product reporting, and actuarial model maintenance.

Key Responsibilities

• Reconciliation and analysis of investment product and policy data
• Analysis of product performance, fund flows, and policyholder behaviour (premiums, withdrawals, persistency)
• Assist with the design, development, and testing of new investment products and product enhancements
• Support actuarial reporting on investment products to management and relevant committees
• Provide support to management in the calculation of actuarial reserves
• Complete tasks related to the calculation of the regulatory capital requirement
• Assist with actuarial model development
• Maintain and run the actuarial experience investigation process

Requirements

• Matric (essential)
• BSc Actuarial Science or BCom Actuarial Science (required)
• 1-4 years’ relevant experience
• Candidates with 0 to 3 year’s relevant experience will be considered
• Experience with Prophet (preferable), SQL and MS Office
• Exam progress:
• Completed: A111 – A113, A211 – A214, A311, N111 and N211
• Beneficial: F105, another F100 and F200

Skills and Attributes

• Strong analytical, numerical, and problem-solving skills
• Attention to detail and accuracy
• Proficiency in data analysis and actuarial modelling
• Ability to interpret and communicate complex information clearly
• Strong organisational and time management skills
• Ability to work independently and collaboratively
• Proactive, accountable, and results-oriented
• Commitment to continuous learning and professional development
   

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Purpose of position:

• Providing superior service to internal and external clients. Selling products to retain existing clients and attract new business for the organisation.

Responsibilities:

• Dealing with client queries and complaints
• Upselling a variety of products to existing clients, on all levels, in a competent, efficient, and professional way
• Acting in accordance with the quality standards that are in place and in line with the King Price values

Requirements:

• Matric or matric equivalent (essential)
• RE5 (essential)
• Full FAIS qualification (advantageous)
• Previous call centre experience, preferably in client care and/or sales environments (essential)
• Relevant experience in short term insurance (advantageous)
• Excellent product knowledge

Skills and Attributes:

• Live the King Price values
• Excellent attention to detail and quality oriented
• Strong problem-solving, decision-making and objection handling skills
• Deadline and results driven
• Ability to cooperate and communicate with all levels of management and clients
• Strong people skills and client-oriented
• Team player
• Show traits of resilience, integrity, ambition and passion
• Work well under pressure
   

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Purpose of the position:

• Providing superior service to internal and external clients. Selling value added products in order to retain existing clients and attract new business for the organisation.

Responsibilities:

• Upselling a variety of products to existing clients
• Maintaining quality standards in line with King Price’s values
• Assisting with client queries and updates

Requirements:

• Matric or matric equivalent (essential)
• RE5 (essential)
• Full FAIS Qualification (advantageous)
• Previous call centre experience, preferably in client care and/or sales environments (essential)
• Excellent product knowledge

Skills and Attributes:

• Live the King Price values
• Excellent attention to detail and quality oriented
• Strong problem-solving, decision-making and objection handling skills
• Deadline and results driven
• Ability to cooperate and communicate with all levels of management and with external clients
• Strong people skills and client-oriented
• Team player
• Show traits of resilience, integrity, ambition and passion
• Work well under pressure
   

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Purpose of position:

• Design, build, and deploy production AI/ML systems — including model development, data pipelines, API services, and automation tooling — that directly support our insurance products and internal operations.

Responsibilities:

AI/ML system development

• Design, train, evaluate, and deploy machine learning models for pricing, fraud detection, customer segmentation, and operational automation
• Build and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and serving
• Implement model monitoring and retraining workflows to ensure sustained performance in production
• Write clean, tested, production-grade Python code; leverage Rust where performance is critical

Platform & infrastructure

• Develop and maintain internal tooling, APIs, and microservices that expose AI capabilities to downstream systems
• Architect scalable data processing pipelines using modern orchestration and compute frameworks
• Own deployment infrastructure: containerisation, CI/CD, and observability for ML services
• Integrate with internal platforms including Genesys Cloud, WhatsApp channels, and rating engines where AI capabilities are required

Data engineering & analysis

• Write performant SQL and Python to extract, transform, and analyse large datasets
• Build dashboards and automated reporting to quantify model performance and business impact
• Collaborate with actuarial and product teams to translate business problems into tractable modelling tasks

Research & continuous improvement

• Evaluate emerging techniques (LLMs, generative AI, reinforcement learning) for applicability to business problems
• Prototype rapidly; validate or kill ideas quickly with structured experiments
• Contribute to internal knowledge sharing through code reviews, technical write-ups, and workshops

Quality & reliability

• Write unit and integration tests for all production code
• Conduct rigorous model validation: out-of-sample testing, fairness audits, and sensitivity analysis
• Maintain reproducibility through version-controlled experiments, data snapshots, and clear documentation

Requirements:

• BEng (Mechanical, Computer, Electronic) - or equivalent quantitative degree
• Master’s degree in a related field (advantageous)
• 2–5 years’ professional experience building and deploying ML/AI systems
• Strong proficiency in Python (Polars, scikit-learn, PyTorch or TensorFlow)
• Experience with SQL at an intermediate-to-advanced level
• Familiarity with Rust, C++, or another systems language (advantageous)
• Hands-on experience with cloud platforms (Azure, AWS, or GCP) and containerisation (Docker, Kubernetes)
• Solid grounding in linear algebra, probability, optimisation, and statistical inference
• Experience with version control (Git), CI/CD pipelines, and software engineering best practices

Skills and Attributes:

• Solves problems independently; does not wait to be told what to do
• Writes clear, maintainable code — treats engineering rigour as non-negotiable
• Communicates technical trade-offs concisely to both engineers and non-technical stakeholders
• Comfortable with ambiguity; able to scope and decompose ill-defined problems without hand-holding
• High standard of output — ships work that is correct, tested, and documented
• Intellectually honest: flags uncertainty, quantifies confidence, and knows when to escalate