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Graduate Analyst - Employee Benefits Analytics and Risk Modelling
Howden Group
Dubai, UAE
Full Time
Entry
Hybrid
1 weeks ago
Data AnalysisStatistical ModellingBusiness IntelligenceData VisualizationExcelPython
Free
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Data AnalysisStatistical ModellingBusiness Intelligence
About the Role
Howden Group's 12-month graduate programme in Dubai offers recent graduates a foundation in insurance, risk modelling, and employee benefits. You will work on real client projects, develop analytical and consulting skills, and transition into a permanent role.
Key Skills for This Role
Data AnalysisStatistical ModellingBusiness IntelligenceData VisualizationExcelPython
Responsibilities
- Work with modern data, analytics, and business intelligence platforms to analyse insurance, claims, employee demographics, insurer quotations, policy performance, and renewal trends
- Support development of pricing models, forecasting tools, benchmarking databases, and risk analytics solutions
- Create data visualisations, dashboards, and reports to help clients and colleagues make informed decisions
- Assist in improving data quality, automation, and reporting processes across the Employee Benefits portfolio
- Build understanding of how insurance policies are priced, structured, and renewed
- Learn how local regulation influences policy design and client advice
- Gain exposure to emerging technologies including AI and predictive analytics
Requirements
- Recent graduate or graduating soon in Actuarial Science, Data Science, Statistics, Mathematics, Computer Science, Analytics, or related quantitative discipline
- Comfortable working with numbers, patterns, and complex information
- Exposure to spreadsheet modelling, advanced Excel, database technologies, or programming languages such as Python, R, SQL is advantageous but not required
- Curious, motivated to learn, and keen to build technical and commercial skills
Full Job Posting
Employee Benefits Team
- Our Employee Benefits team sits at the intersection of people, data, risk, and business strategy.
- Helps organisations design, place, and manage insurance and benefits programmes including private medical insurance, group life assurance, disability cover, retirement plans, and wellbeing benefits.
- Works closely with insurers and providers to help clients understand policy options, benefit limits, exclusions, claims experience, provider networks, premiums, renewals, and market terminology.
Our Graduate Programme
- 12 month graduate programme designed to give a strong foundation in insurance, risk modelling, and employee benefits.
- From the start, you'll be part of the team, working on real client projects.
- Develop analytical, commercial, and consulting skills through on the job learning and structured support.
- Supported by a dedicated mentor; upon successful completion, transition into a permanent role.
What you'll be doing
- Work with modern data, analytics, and business intelligence platforms to analyse insurance, claims, employee demographics, insurer quotations, policy performance, and renewal trends.
- Support development of pricing models, forecasting tools, benchmarking databases, and risk analytics solutions.
- Create data visualisations, dashboards, and reports that help clients and colleagues make informed decisions.
- Assist in improving data quality, automation, and reporting processes across the Employee Benefits portfolio.
- Build understanding of how insurance policies are priced, structured, and renewed.
- Learn how local regulation influences policy design, minimum levels of cover, data requirements, and client advice.
- Gain exposure to emerging technologies, including artificial intelligence and predictive analytics.
What are we looking for?
- Recent graduates or students graduating soon in Actuarial Science, Data Science, Statistics, Mathematics, Computer Science, Analytics, or related quantitative discipline.
- Candidates from other degree backgrounds with exceptional analytical and quantitative ability will also be considered.
- Comfortable working with numbers, patterns, and complex information.
- Interested in data analysis, statistical modelling, business intelligence, data visualisation, or working with large datasets.
- Exposure to spreadsheet modelling, advanced Excel, database technologies, or programming languages such as Python, R, SQL is advantageous but not required.
- Curious about how machine learning, AI, and automation can be applied to solve real business problems.
- Curious, motivated to learn, and keen to build technical and commercial skills.
- Motivated to take ownership of work and contribute to team success.
- Problem solver with positive, solutions focused mindset.
- Resilient, organised, and able to manage multiple priorities effectively.
Application Process
- Online application form
- Online gamified assessment
- Pre recorded video interview (audio only option available)
- Interview Super Day: virtual case study and interviews
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