XDI (Cross Dependency Initiative) is a specialist, mission-led physical climate risk analytics company, focused on changing how climate risk is understood, valued and acted on by the institutions that shape the global economy.
Established in 2007, XDI is the world’s longest-standing independent specialist in physical climate risk and adaptation analytics, and is recognised as a global leader in the Forrester Wave™: Climate Risk Analytics Software (2025) and the 2024 Verdantic Smart Innovator report. We translate climate risk into financially decision-useful intelligence, enabling decision-makers to plan for resilience and adaptation, and to redirect capital away from high-risk, high-emission activities toward a low-carbon, climate-resilient economy. Our clients include major banks, investors, asset owners and governments around the world, and we increasingly partner with academic institutions and NGOs to help deliver our impact goals.
Across the group, we have around 50 team members based in Australia and Europe.
Watch an introduction to XDI
Want to know more about us and our work? Visit our Newsroom and explore our latest 2025 Physical Climate Risk Reports: https://xdi.systems/news
We are a mission-led organisation powered by people who want to apply their professional skills to deliver meaningful, real-world outcomes on climate change. Our team is united by a strong alignment to our purpose and a culture where everyone is encouraged to contribute, challenge ideas, and be heard.
We take pride in maintaining an inclusive, supportive environment where we care deeply about wellbeing, teamwork is strong, and people feel connected to the bigger picture. You’ll find empowered, collaborative teams, clear alignment to organisational goals, and leadership that values clarity, trust and impact. We also offer a range of generous employment conditions designed to support balance, autonomy and growth, including
We also offer a range of generous employment conditions designed to support balance, autonomy, and growth, including: