Infrastructure Investment Consultant

14 set - Varese
Arup

Overview

As an Infrastructure Investment Consultant in Arup's Milan team, you support technical due diligence and advisory work across energy, transport, and utilities projects. You’ll perform quantitative analysis, data handling, and financial modelling to inform investment decisions for lenders, buyers or sellers. You will grow your sector expertise through hands-on project work and structured learning while collaborating with teams in Italy and globally. This role offers professional growth, cross-market exposure, and the chance to impact infrastructure investments with ESG considerations.

Retribuzione / Benefits

- graduate development program
- global opportunities and assignments
- competitive graduate salary and profit-sharing
- mentorship from experienced professionals
- structured learning and career growth
- cultures of inclusion and diversity

Responsabilità

- Assist with project management tasks and assume increasing responsibility
- Conduct research and analysis to inform project insights
- Build sector expertise through hands-on experience and learning




- Support client-facing tasks and develop client interaction skills
- Work on process improvement and development
- Collaborate with teams in Italy and international offices on global projects
- Carry out wider advisory work in public and private sectors as skills allow
- Undertake ESG and financial/economic due diligence to assess risks and opportunities

Requisiti fondamentali

- 0 to 3 years of post-graduation experience in commercial or transaction due diligences in infrastructure
- Strong quantitative and analytical skills
- Strong knowledge of Excel and PowerPoint
- Fluency in Italian (written and spoken) and English
- Team player who performs under delivery pressure while maintaining quality
- Ability to switch between infrastructure-related projects across fields
- Engineering degree or equivalent experience in infrastructure projects

- teamwork
- communication
- adaptability
- data handling
- financial/economic modelling
- Excel

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