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Aon

Global risk, retirement, health solutions provider

Actuarial Consulting Graduate - Pensions

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Have or be on track to achieve a 2:1 degree (or equivalent) in Maths, actuarial science, or another highly numerical degree.
  • Have achieved an A-grade or above in Maths A-level, an A-grade in Maths Scottish Higher, or an international equivalent.
  • Have or be looking to build practical skills in Python, SQL, VBA, or cloud platforms.
  • Demonstrate the right to work in the UK throughout the duration of employment.
  • Have an interest in actuarial consulting, analytics, risk, finance, insurance, or related fields.
  • Desire to pursue a career in actuarial consulting and build expertise within Aon's business.
  • Have written and verbal communication skills.
  • Have critical thinking, problem-solving, analytical abilities, and attention to detail.
  • Take a collaborative approach and demonstrate initiative and adaptability.
  • Have organizational skills and the ability to manage multiple priorities and meet deadlines.
  • Proactively seek feedback, take ownership of work, and follow through reliably.
  • Consider wider objectives, prioritize carefully, and explain thinking clearly.
  • Value different perspectives and help others feel respected and able to contribute.
  • Use technology and learn new tools, including AI literacy, prompt engineering, AI-enabled and technology-supported ways of working, and review, refine, and challenge outputs before relying on them.
  • Use Microsoft Office applications, including tools such as Copilot or similar technologies to structure, test, and improve outputs.

Responsibilities

  • Build and run models for pricing, reserving, profitability, and pension scheme analysis; review AI baselines, test scenarios, validate outputs, identify anomalies, and question automated or AI-supported results against actuarial principles.
  • Support funding and accounting valuations, projections, benefit calculations, data reconciliation, reserving, and pension scheme reporting, including configuring and challenging assumptions beneath automated calculations.
  • Conduct data and risk analysis to identify patterns, test scenarios, and help clients understand financial obligations, risk drivers, assumptions, market trends, and potential future outcomes; connect analysis to client priorities, trade-offs, and practical decisions.
  • Identify ways for trustees and companies to manage or reduce scheme risks, including longevity, investment, and inflation risk.
  • Support profitability and reinsurance analysis, interpreting results and trends where relevant to client work.
  • Draft precise reports, presentations, and analysis summaries that support good governance, financial reporting, and client decision-making.
  • Coordinate workstreams, orchestrate AI and offshore analysts as one workflow, manage documentation, and support delivery of pension scheme and internal projects.
  • Support senior actuaries in client meetings, build relationships with clients and colleagues, translate methodology into narrative, listen to different perspectives, and present analysis clearly and accessibly.

Desired Qualifications

  • Experience with Python, SQL, VBA, or similar technologies is an asset.
  • Insurance experience is not required.

About the Company

Aon

Global risk, retirement, health solutions provider

Aon provides risk management, retirement, and health solutions to businesses, governments, and individuals by offering consulting, brokerage, and software. It uses data and analytics to tailor insights across risk assessment, benefits design, and workforce optimization. Its global, diversified service mix and data-driven approach allow it to deliver more integrated risk, retirement, and health solutions than firms focusing on a single area. Its goal is to shape decisions for the better and protect and enrich lives worldwide.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1919

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