Graduate Analyst - Employee Benefits
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Key skills for this role
About the Role
Howden's 12-month graduate program in Employee Benefits offers hands-on experience in data analysis, pricing models, and risk analytics. The role involves working with modern data platforms to support insurance, claims, and employee benefits analysis.
Key Skills for This Role
Responsibilities
- Work with modern data, analytics, and business intelligence platforms to analyse insurance, claims, employee demographics, insurer quotations, policy performance, and renewal trends
- Support the 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 an understanding of how insurance policies are priced, structured, and renewed
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
Full Job Posting
Graduate Program Overview
- 12 month development programme designed for recent graduates looking to build a career in insurance.
- Gain hands on experience in cyber insurance, learning how risks are assessed, placed, and managed.
- 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 the 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 an 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 a related quantitative discipline.
- Candidates from other degree backgrounds who can demonstrate 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 and complex datasets.
- Exposure to spreadsheet modelling, advanced Excel, database technologies, or programming languages such as Python, R, SQL would be advantageous.
- Curious about how machine learning, artificial intelligence, and automation technologies can be applied.
- Curious, motivated to learn, and keen to build technical and commercial skills.
- Motivated to take ownership of your work and contribute to team success.
- A problem solver who approaches challenges with a positive, solutions focused mindset.
- Resilient, organised, and able to manage multiple priorities effectively.
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