This senior analytical role sits within the Strategic Value Unit of Central East ICB, which is integrated with the Population Health Unit. The postholder applies actuarial methods to forecast population need, demand, expenditure and financial risk, and to inform commissioning, funding and transformation decisions. The post sits in a multidisciplinary decision intelligence function alongside health economists, data scientists and public health specialists. Candidates need an actuarial qualification, or substantial progress towards Fellowship.
What the job involves
- Deliver actuarial analysis and modelling supporting ICB priorities
- Develop forecasts of population need, demand, utilisation, expenditure and financial risk
- Undertake complex actuarial work from problem definition and data specification through to communication
- Contribute to strategic planning, commissioning and financial sustainability work
- Support the development and assessment of population-based funding and risk-sharing approaches
- Undertake assurance, validation and peer review of actuarial analyses and models
- Communicate actuarial evidence and uncertainty to technical and non-technical audiences
- Contribute to the development of actuarial and analytical capability across the organisation
- Apply scenario, sensitivity and probabilistic techniques to assess uncertainty and risk
- Analyse large, complex population, activity, cost and financial datasets, assessing quality and bias
- Contribute actuarial analysis to business cases, commissioning proposals and service redesign
- Support implementation and monitoring of decisions informed by actuarial analysis
What’s required
Qualifications
- AIA/AFA or an equivalent recognised actuarial qualification, or demonstrable substantial progress towards Fellowship
- Evidence of continuing professional development and compliance with actuarial professional standards
Experience
- Applying actuarial methods to complex financial, population, risk or resource-planning problems
- Developing actuarial forecasts and risk models using complex datasets
- Developing assumptions using historical experience, trend analysis and professional judgement
- Assuring or validating actuarial or financial models
Skills & knowledge
- Structuring complex analytical problems and selecting appropriate actuarial approaches
- Developing and quality assuring actuarial models and forecasts
- Assessing and communicating uncertainty, variability and financial risk
- Synthesising actuarial, financial, operational and population evidence into clear recommendations
Nice to have
- Evidence of wider contribution to the actuarial or analytical profession
- Experience in healthcare, health insurance, social care or a population health setting
- Experience evaluating payment models, risk adjustment, capitation or risk-sharing arrangements
- Fluency in R, Python, SQL or specialist actuarial software
What’s offered
- Flexible working options, open to discussion
- Carer-friendly working environment