01 ott - Milano
Ox2
pJob Title: Investment Analysis Associate /p pField of Work: Transactions /p h3bAbout OX2 /b /h3 pOX2 develops, constructs, and manages renewable energy solutions at scale, accelerating the transition to renewable energy across Europe and beyond.
/p pWe are now looking for an bInvestment Analysis Associate to join our team in Milan.
/b /p h3bThe team /b /h3 pAt OX2 you will work in an binternational, entrepreneurial environment /b with colleagues committed to accelerating the benergy transition /b.
/p pIn Italy, the team is developing projects across solar, agrivoltaics, wind, and energy storage, supporting the country's transition to a sustainable and decarbonized energy system.
/p pThe Investment Analysis team is a central function that works across the organization at every stage of a project — from early development, through the financing process and transactions, to ongoing operations.
The team is responsible for providing the organization with commercial and business case insight to guide business decisions and direction.
/p h3bAbout the Role /b /h3 pAs an Investment Analysis Associate, you will drive financial modelling, valuation, and data analysis to support investment decisions across our projects.
/p pThis is a hands?on analytical role focused on building robust financial models, analyzing complex datasets, and developing investment business cases.
Working closely with internal stakeholders, you will support transactions and project evaluations through high?quality quantitative insights and commercial analysis.
/p pbKey Responsibilities /b /p ul liBuild and maintain bfinancial models /b for renewable energy projects and portfolios /li liPerform bvaluation, scenario analysis, and sensitivity modelling /b to assess investment opportunities /li liDevelop and update bdata?driven business cases /b across the project lifecycle /li liAnalyse bmarket data, assumptions, and risk factors /b to support investment decisions /li liPrepare bclear, structured decision materials /b based on quantitative insights /li liSupport transaction processes with banalytical input and modelling /b /li liContribute to improving bmodelling standards, valuation methods, and internal tools /b /li liCollaborate with cross?functional teams to ensure bhigh?quality data and assumptions /b /li /ul h3bQualifications Experience /b /h3 ul liAcademic background in bFinance, Economics, Engineering, or similar /b /li lib2+ years of experience in investment analysis, MA, valuation, transaction services, or similar /b /li liExperience from a Big Four firm combined with exposure to the energy or renewable energy industry is considered a strong advantage /li liStrong bfinancial modelling and Excel skills /b /li liExcellent banalytical and numerical capabilities /b, with attention to detail /li liExperience working with bdata, structured analysis,
and quantitative problem?solving /b /li liFluent in bEnglish /b and Italian is a must /li liInterest in brenewable energy and infrastructure investments /b /li /ul pAs a person you recognize yourself as: analytical, structured, and bdata driven /b.
Moreover, you are curious and motivated to understand underlying assumptions and driversand bmotivated by solving analytical problems /b /p h3bWhat we offer /b /h3 ul liWork at the core of binvestment decision?making in renewable energy /b /li liStrong focus on banalytics, modelling, and data?driven insights /b /li liExposure to real transactions and investment cases early in your career /li liCollaborative, flexible and inclusive work environment /li /ul h3bApplication and Recruitment Process /b /h3 pAt OX2, we believe diverse perspectives strengthen our teams and lead to better decisions.
We welcome applicants from all backgrounds and encourage everyone with the right competence and experience with permission to work inthe EUto apply.
/p pOur recruitment process is competence?based, which means the qualifications for the role guide the selection and evaluation of candidates.
Based on that, we conduct assessments as part of the process to make sure that our process is fair, unbiased, and data driven.
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