What will you do?<\/p>\n
\tWe are driven at Miway to quickly assess claims and limit payouts to valid claims to ensure good service and value for money to our clients.
\n\tThis is a high-impact role focused on shaping and scaling fraud detection, investigations effectiveness, and claims optimisation capabilities within a dynamic and evolving environment.
\n\tThe successful candidate will lead a team and take ownership of key analytics-driven initiatives across claims and fraud, ensuring that models, insights, and decision frameworks are effectively translated into operational processes that deliver measurable business value.
\n\tThis role combines technical modelling, operational implementation, and strategic ownership. It is suited to an individual who can bridge the gap between analytical design and real-world application, while driving continuous improvement across the claims value chain.\u00a0<\/p>\n
What will make you successful in this role?<\/p>\n
Qualifications and Experience<\/p>\n
\tBachelor\u2019s degree in Actuarial Science, Data Science, Statistics, Mathematics, or a related field.
\n\tNearly or newly qualified actuary preferred; however, highly technical and experienced data science candidates will also be considered.
\n\tMinimum of 5 years\u2019 experience in short term insurance pricing or other predictive modelling within the financial services sector.
\n\tPrior experience in managing or leading a team is essential.
\n\tExperience in claims, fraud, or operational analytics is strongly preferred.
\n\tDemonstrated experience in both technical model development and business implementation.\u00a0
\n\tProven track record of delivering cross-functional, business-impacting initiatives.\u00a0<\/p>\n
Key Responsibilities<\/p>\n
Team Leadership and Delivery<\/p>\n
\tLead, mentor, and provide technical oversight to a team of analysts.\u00a0
\n\tFoster a high-performance culture focused on accountability, quality, and business impact.\u00a0
\n\tEnsure consistent delivery of high-value initiatives aligned to business priorities.\u00a0
\n\tManage and align stakeholders across claims, investigations, and broader business units.\u00a0<\/p>\n
Fraud Detection and Investigations Performance<\/p>\n
\tLead initiatives to improve fraud detection and investigation effectiveness.\u00a0
\n\tEnhance case selection, reduce false positives, and improve investigation conversion rates.\u00a0
\n\tEnsure robust tracking and measurement of investigation outcomes and financial impact.\u00a0
\n\tWork closely with operational teams to align analytical outputs with investigation capacity and priorities.\u00a0<\/p>\n
Claims Performance and Optimisation<\/p>\n
\tDrive initiatives to improve claims cost management and operational efficiency.\u00a0
\n\tIdentify and address claims leakage and inefficiencies across the value chain.\u00a0
\n\tEnhance initial claims estimation and performance monitoring frameworks.\u00a0
\n\tTranslate analytical insights into practical, actionable business improvements.\u00a0<\/p>\n
Embedding Analytics into Operations<\/p>\n
\tEnsure models, rules, and decision frameworks are effectively embedded into operational environments.\u00a0
\n\tIdentify and close gaps between analytical design and execution.\u00a0
\n\tCollaborate closely with technical and operational teams to drive adoption and usability of solutions.\u00a0<\/p>\n
Reporting, Insights and Decision Support<\/p>\n
\tDevelop and maintain reporting and monitoring frameworks across fraud and claims.\u00a0
\n\tBuild dashboards and automated reporting to support data-driven decision-making.\u00a0
\n\tProvide clear, actionable insights on performance, risks, and opportunities.\u00a0<\/p>\n
Continuous Improvement and Innovation<\/p>\n
\tEstablish feedback loops to continuously refine models, rules, and processes.\u00a0
\n\tIdentify opportunities to enhance fraud detection strategies and claims optimisation approaches.\u00a0
\n\tDrive iterative improvement in analytical and operational capabilities.\u00a0<\/p>\n
Stakeholder Engagement<\/p>\n
\tAct as a key interface between analytics, claims, investigations, legal, and external stakeholders.\u00a0
\n\tInfluence and drive adoption of data-driven decision-making across the business.\u00a0
\n\tLead performance discussions and ensure alignment to key business objectives.\u00a0<\/p>\n
Key Skills and Attributes<\/p>\n
\tStrong understanding of the financial services value chain end-to-end; experience in short-term insurance, particularly within Claims and Fraud, is advantageous.\u00a0
\n\tStrong analytical and modelling capability (e.g. GLMs, predictive modelling), with the ability to apply these in real-world contexts.\u00a0
\n\tAbility to operate across both technical and operational environments, bridging the gap between analytics and business execution.\u00a0
\n\tStrong commercial acumen, with the ability to prioritise initiatives based on business value and impact.\u00a0
\n\tProven ability to define problems, design pragmatic solutions, and deliver measurable outcomes.\u00a0
\n\tAdvanced SQL and analytical capability, with strong proficiency in R (required) and Python advantageous.\u00a0
\n\tStrong stakeholder management and influencing skills across multiple levels.\u00a0
\n\tExcellent communication skills, with the ability to translate technical concepts into clear business insights.\u00a0
\n\tHigh attention to detail and strong problem-solving ability.\u00a0
\n\tSelf-driven, accountable, and delivery-focused.\u00a0
\n\tComfortable operating in ambiguous environments and building scalable solutions from the ground up.\u00a0<\/p>\n
Technical Tools<\/p>\n
\tSQL (SQL Server and\/or Oracle) – required\u00a0
\n\tR – required\u00a0
\n\tDashboarding and reporting tools – required\u00a0
\n\tPython – advantageous\u00a0
\n\tExperience working with production environments and\/or IT implementation – advantageous<\/p>\n
Apply via company website ( ) or<\/p>\n
careers.sanlamcloud.co.za<\/p>\n
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