Senior Policy Analyst – Pensions Modelling; Actuarial/Quantitative
Listed on 2026-03-12
-
Finance & Banking
Data Scientist, Mathematics, Risk Manager/Analyst, Economics
Location: Greater London
Senior Policy Analyst – Pensions Modelling (Actuarial / Quantitative
Role)
Organisation:
Pensions Policy Institute (PPI)
Location:
London (Hybrid)
Salary: £49,000- £53,000 per annum
Type:
Permanent - Full Time
Use your actuarial modelling skills to influence pensions policy
The Pensions Policy Institute (PPI) is seeking a Senior Policy Analyst with
strong quantitative and modelling skills to join our integrated research team.
This is a unique opportunity for an actuarial or pensions professional to apply technical modelling expertise to some of the most important questions facing the UK pensions system.
You will help maintain and develop the PPI’s modelling suite, ensuring the robustness of analytical outputs while contributing to influential research that
informs policymakers, regulators and industry leaders.
As Senior Policy Analyst, you will play a key role in maintaining and operating the PPI’s modelling tools and supporting high-quality research into UK pensions policy.
Your work will combine technical modelling, policy analysis and communication of research findings.
- Maintaining and operating the PPI’s pensions modelling suite
- Undertaking quality assurance of modelling outputs
- Supporting the development of new analytical approaches and modelling insights
- Contributing to research publications and policy reports
- Helping communicate research findings to stakeholders across government, regulators and industry
This is a rare opportunity to combine technical modelling work with real
policy influence.
This role may be particularly attractive to:
- Actuarial analysts or part-qualified actuaries
- Professionals working in pensions consulting or pensions analytics
- Individuals studying towards Institute and Faculty of Actuaries (IFoA)or PMI qualifications
- Quantitative professionals interested in pensions policy and research
The Pensions Policy Institute (PPI) is an independent research organisation
with a reputation for producing authoritative and objective analysis of
pensions policy in the UK.
Our work informs policymakers, regulators, pension providers and industry
leaders, helping shape debates around the future of retirement provision.
The PPI maintains a suite of models that assess both the current pensions system and alternative policy options. These include:
- A model of hypothetical individuals
- A model of aggregate State Pension expenditure and private pension contributions
- A distributional model of pensioners’ incomes
- A dynamic model of projected survey individuals
- An economic scenario generator for creating stochastic scenarios
Most models are spreadsheet-based with some elements programmed in Visual Basic.
Essential skills and experience- Strong analytical ability and experience working with quantitative data.
- Ability to interpret complex modelling outputs and explain them clearly to technical and nontechnical audiences.
- Experience drafting research reports, briefings, articles or analytical materials for various audiences.
- Strong organisational and project coordination skills, with the ability to manage multiple tasks and deadlines.
- Ability to work independently and collaboratively within a small, integrated research team.
- Experience maintaining or developing modelling code (e.g., spreadsheets, Visual Basic, Python or similar).
- Experience applying quality assurance processes to modelling work.
- Strong technical skills in model documentation, coding standards and data validation.
- Experience mentoring colleagues on modelling techniques or improving data quality.
- Experience contributing to the development of modelling assumptions or supporting model governance.
- Experience presenting analytical findings to external audiences.
- Experience with pensions, long-term savings, or economic/social policy datasets.
- Experience working with Government, industry or academic analysts.
- A degree or MSc in a relevant quantitative or analytical discipline (e.g., economics, statistics, mathematics, actuarial science, data science, public policy), or demonstrably equivalent professional experience gained through analytical,…
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