Cyber Academy Graduate

Introduction

At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world‑class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance.

We’re a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters. This is a place where you'll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are.

Gallagher Re is actively seeking graduates to join our rapidly expanding and industry‑leading Cyber Reinsurance brokerage in a client‑facing capacity. Ideal candidates should possess strong communication skills and a proactive, entrepreneurial mindset. If you are curious, motivated, and enjoy solving problems with data, and working with emerging technologies, we want to hear from you—regardless of your academic background or previous industry experience.

We provide comprehensive training, mentorship, and real project experience across Data Analytics, Cyber Security and Insurance.

Core focuses of the Gallagher Re Cyber & Digital Advisory Team include, but aren’t limited to:

• Automation, AI & Product:
  Help build and refine new products, analytics pipelines and agentic AI workflows that enhance make data easier to understand and use.
• Cyber Intelligence & Research:
  Analyse real cyber events, technology trends and vendor risks to provide quantitative insight for clients.
• Market Analysis & Thought Leadership:
  Support market shaping industry research and publications using a mix of qualitative investigation and quantitative evidence.
• Data Analytics & Insight Generation:
  Use cutting edge tools to explore datasets, identify trends and create clear, meaningful insights to support cyber risk decisions.
• Digital Risk Scenario Modelling:
  Work alongside actuaries and cyber specialists to analyse feasibility of and model realistic cyber catastrophe scenarios.

What Makes This Programme Inclusive:

• No prior industry experience required
• Training, mentorship and support built into the programme
• Clear skills expectations with support for beginners
• Inclusive, strengths‑based language
• Accessible entry pathways for candidates from under‑represented communities
• Commitment to creating an environment where everyone can succeed

We encourage applications from people who may not see themselves represented in the cyber or insurance sectors today.

You may be a strong candidate if you have:

• Curiosity about data, technology and problem‑solving;
• Experience using Python, SQL, R or similar tools (from any context—university, online learning, bootcamps, personal projects);
• Ability to communicate insights clearly, including to non‑technical audiences;
• An interest in learning about Cyber Security and Insurance;
• Attention to detail, creativity and a structured approach to analysis;
• Motivation to collaborate with people from diverse backgrounds and skillsets;
• We value potential and willingness to learn as much as prior experience.

Any academic discipline at 2:1 or equivalent (but we also consider broader experience and potential)

Graduates from STEM and non‑STEM backgrounds

Bootcamps, apprenticeships and online learning pathways

Candidates who are self‑taught in emerging technologies including AI, Data Engineering, Python and SQL

On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days
• Defin…