Actuarial Manager: Fraud & Claims at MiWay Insurance Limited

What will you do?

• We 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.
• This is a high-impact role focused on shaping and scaling fraud detection, investigations effectiveness, and claims optimisation capabilities within a dynamic and evolving environment.
• The 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.
• This 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. 

What will make you successful in this role?

Qualifications and Experience

• Bachelor’s degree in Actuarial Science, Data Science, Statistics, Mathematics, or a related field.
• Nearly or newly qualified actuary preferred; however, highly technical and experienced data science candidates will also be considered.
• Minimum of 5 years’ experience in short term insurance pricing or other predictive modelling within the financial services sector.
• Prior experience in managing or leading a team is essential.
• Experience in claims, fraud, or operational analytics is strongly preferred.
• Demonstrated experience in both technical model development and business implementation. 
• Proven track record of delivering cross-functional, business-impacting initiatives. 

Key Responsibilities

Team Leadership and Delivery

• Lead, mentor, and provide technical oversight to a team of analysts. 
• Foster a high-performance culture focused on accountability, quality, and business impact. 
• Ensure consistent delivery of high-value initiatives aligned to business priorities. 
• Manage and align stakeholders across claims, investigations, and broader business units. 

Fraud Detection and Investigations Performance

• Lead initiatives to improve fraud detection and investigation effectiveness. 
• Enhance case selection, reduce false positives, and improve investigation conversion rates. 
• Ensure robust tracking and measurement of investigation outcomes and financial impact. 
• Work closely with operational teams to align analytical outputs with investigation capacity and priorities. 

Claims Performance and Optimisation

• Drive initiatives to improve claims cost management and operational efficiency. 
• Identify and address claims leakage and inefficiencies across the value chain. 
• Enhance initial claims estimation and performance monitoring frameworks. 
• Translate analytical insights into practical, actionable business improvements. 

Embedding Analytics into Operations

• Ensure models, rules, and decision frameworks are effectively embedded into operational environments. 
• Identify and close gaps between analytical design and execution. 
• Collaborate closely with technical and operational teams to drive adoption and usability of solutions. 

Reporting, Insights and Decision Support

• Develop and maintain reporting and monitoring frameworks across fraud and claims. 
• Build dashboards and automated reporting to support data-driven decision-making. 
• Provide clear, actionable insights on performance, risks, and opportunities. 

Continuous Improvement and Innovation

• Establish feedback loops to continuously refine models, rules, and processes. 
• Identify opportunities to enhance fraud detection strategies and claims optimisation approaches. 
• Drive iterative improvement in analytical and operational capabilities. 

Stakeholder Engagement

• Act as a key interface between analytics, claims, investigations, legal, and external stakeholders. 
• Influence and drive adoption of data-driven decision-making across the business. 
• Lead performance discussions and ensure alignment to key business objectives. 

Key Skills and Attributes

• Strong understanding of the financial services value chain end-to-end; experience in short-term insurance, particularly within Claims and Fraud, is advantageous. 
• Strong analytical and modelling capability (e.g. GLMs, predictive modelling), with the ability to apply these in real-world contexts. 
• Ability to operate across both technical and operational environments, bridging the gap between analytics and business execution. 
• Strong commercial acumen, with the ability to prioritise initiatives based on business value and impact. 
• Proven ability to define problems, design pragmatic solutions, and deliver measurable outcomes. 
• Advanced SQL and analytical capability, with strong proficiency in R (required) and Python advantageous. 
• Strong stakeholder management and influencing skills across multiple levels. 
• Excellent communication skills, with the ability to translate technical concepts into clear business insights. 
• High attention to detail and strong problem-solving ability. 
• Self-driven, accountable, and delivery-focused. 
• Comfortable operating in ambiguous environments and building scalable solutions from the ground up. 

Technical Tools

• SQL (SQL Server and/or Oracle) - required 
• R - required 
• Dashboarding and reporting tools - required 
• Python - advantageous 
• Experience working with production environments and/or IT implementation - advantageous