Intern Infrastructure Responsible Investing (m/w/d)

Banken
Finanzen

Controlling / Finanzen

Veröffentlicht seit 1 Tag

BNP Paribas

Bei BNP Paribas duzen wir uns alle und wir tragen angemessene Kleidung, in der wir uns gut fühlen. Wir leben Vielfalt, Teamgeist und Nachhaltigkeit. Bei uns findest du einen sicheren Arbeitsplatz, viel Gestaltungsfreiraum und eine passende berufliche Lösung für deine individuelle Lebenssituation.

Wir sind: Die Bank für eine Welt im Wandel. Wir – das sind rund 180.000 Mitarbeitende in 64 Ländern.

Tasks

• Support the integration of ESG considerations across infrastructure debt and equity investments throughout the investment lifecycle.
• Contribute to ESG due diligence, portfolio monitoring and engagement activities, including the assessment of ESG risks, opportunities and action plans.
• Support climate-related initiatives, including decarbonisation strategies, net zero commitments, climate risk assessments and transition planning.
• Analyse ESG and climate data collection, perform quality checks and contribute to the development of internal data management and monitoring tools.
• Support ESG reporting obligations and industry initiatives, including SFDR, EU Taxonomy, GRESB, PRI and investor reporting and disclosure requests.
• Conduct research on emerging ESG, climate and regulatory developments and assess their relevance for infrastructure investments.
• Collaborate with investment teams, portfolio companies and external stakeholders on Responsible Investment working groups and strategic initiatives.

Profile

• Currently pursuing a Master's degree in Sustainability, Finance, Economics, Engineering, Environmental Sciences, Public Policy, or a related field, or taking a gap year.
• Strong interest in Responsible Investment, ESG topics, climate change and infrastructure markets.
• First experience through internships, academic projects or extracurricular activities in ESG, sustainable investing or infrastructure or related areas is a requirement.
• Analytical mindset with the ability to organise, interpret and communicate complex information clearly.
• Strong attention to detail and ability to work independently while contributing effectively within a collaborative team environment.
• Good knowledge of Microsoft Excel and PowerPoint; experience with data analysis and AI tools is a plus.
• Fluent in English, both written and spoken; additional European languages are an advantage.