Assistant Manager - Analytics & Predictive Modelling

Transguard Workforce Solutions continues to lead the UAE market as a trusted partner for innovative and fully integrated HR services. With more than a decade of experience and a highly skilled team, we are proud to support organizations across the region with tailored workforce solutions.We are currently hiring a Assistant Manager Pricing Analytics on behalf of a prestigious client, based in their Abu Dhabi office.Job Purpose:This role directly supports ADNIC's strategic growth objectives by performing advanced pricing analytics and building predictive models across commercial and consumer lines in both UAE and international markets. Job Responsibilities:Support the execution of ADNIC's advanced analytics roadmap to enhance underwriting efficiency and portfolio profitability across UAE and non-UAE markets.Contribute to risk exposure management strategies to ensure alignment with ADNIC’s risk appetite and global market standards.Foster institutional innovation by supporting the development of in-house AI and machine learning capabilities for underwriting, claims, and customer insights.Assist the Senior Manager in preparing the Department’s annual budgets, monitoring financial performance, tracking cost variances, and identifying performance improvement opportunities.Build and implement frequency, severity, and predictive models using machine learning and advanced analytics to enhance underwriting processes, maximize profitability, and optimize pricing strategies.Perform comprehensive quantitative and qualitative pricing analysis, maintain pricing database integrity, and deliver weekly and monthly performance reports, dashboards, and metrics to senior management.Utilize catastrophe modelling tools to assess risk exposure, ensuring portfolio resilience against regional and global catastrophic events across UAE and international markets.Support corporate risk exposure management to ensure strict alignment with global market standards and institutional risk appetites.Collaborate with risk and capital modeling teams to enhance capital allocation, solvency optimization, and asset-liability management strategies.Design predictive simulations for innovative reinsurance solutions and recommend structural enhancements to current insurance products.Contribute to establishment and scaling of in-house capabilities for AI-driven analytics to drive operational efficiency across underwriting, claims processing, and customer insights.Partner closely with Underwriting, Reinsurance other internal divisions to streamline workflows, eliminate operational barriers, and provide necessary analytics studiesLead targeted analytical studies to inform business strategies and drive a competitive advantage for non-traditional insurance products across UAE and international markets.Organises and supervises the activities and work of subordinates to ensure that all work within a specific area of the activity is carried out in an efficient manner which is consistent with operating policies and procedures. Also, provide on-the-job training and constructive feedback to subordinates to support their overall development.Skills :Active student membership or credentialed status with a recognized actuarial institution (IFoA, CAS, SOA, or IAI). Must have a proven track record of clearing core technical/professional exams (e.g., minimum of 4–6 actuarial exams cleared or equivalent credit, showing clear momentum toward Qualification).Domain-specific credentials (e.g., Certified Specialist in Predictive Analytics (CSPA) from the CAS, or standard insurance diplomas like ACII/FIII).7 to 10 years of relevant experience in pricing analytics, actuarial modelling, or a related field within the insurance/reinsurance or financial services industry. Experience should include:Development of pricing or predictive models (commercial or consumer lines)Working with advanced analytics tools and statistical methods.Exposure to AI/ML techniques applied in underwriting or claims.Cross-functional collaboration in insurance environments.