22 set - Milano
Ox2
ph3Job Title /h3pInvestment Analysis Associate to OX2 Italy /ph3Function /h3pInvestment Analysis /ph3Reports to /h3pHead of Investment Analysis /ph3Location: /h3pMilan /ph3About OX2 /h3pOX2 develops, constructs, and manages renewable energy solutions at scale, accelerating the transition to renewable energy across Europe and beyond. /ppWe are now looking for an bInvestment Analysis Associate to join our team in Milan. /b /ph3The team /h3pAt OX2 you will work in an binternational, entrepreneurial environment /b with colleagues committed to accelerating the benergy transition /b. /ppIn 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. /ppThe 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. /ph3About the Role /h3pAs an Investment Analysis Associate, you will drive financial modelling, valuation, and data analysis to support investment decisions across our projects. This 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. /ph3Key Responsibilities /h3ulliBuild and maintain bfinancial models /b for renewable energy projects and portfolios /liliPerform bvaluation, scenario analysis, and sensitivity modelling /b to assess investment opportunities /liliDevelop and update bdata‑driven business cases /b across the project lifecycle /liliAnalyse bmarket data, assumptions, and risk factors /b to support investment decisions /liliPrepare bclear,
structured decision materials /b based on quantitative insights /liliSupport transaction processes with banalytical input and modelling /b /liliContribute to improving bmodelling standards, valuation methods, and internal tools /b /liliCollaborate with cross‑functional teams to ensure bhigh‑quality data and assumptions /b /li /ulh3Qualifications Experience /h3ulliAcademic background in bFinance, Economics, Engineering, or similar /b /lilib2+ years of experience in investment analysis, MA, valuation, transaction services, or similar /b /liliExperience from a Big Four firm combined with exposure to the energy or renewable energy industry is considered a strong advantage /liliStrong bfinancial modelling and Excel skills /b /liliExcellent banalytical and numerical capabilities /b, with attention to detail /liliExperience working with bdata, structured analysis, and quantitative problem‑solving /b /liliFluent in bEnglish /b and Italian is a must /liliInterest in brenewable energy and infrastructure investments /b /li /ulpAs a person you recognize yourself as: analytical, structured, and bdata driven /b. Moreover, you are curious and motivated to understand underlying assumptions and drivers and bmotivated by solving analytical problems /b /ph3What we offer /h3ulliWork at the core of binvestment decision‑making in renewable energy /b /liliStrong focus on banalytics, modelling, and data‑driven insights /b /liliExposure to real transactions and investment cases early in your career /liliCollaborative, flexible and inclusive work environment /li /ulh3Application and Recruitment Process /h3pAt 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 in the EU to apply. /ppOur 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. /p /p #J-18808-Ljbffr
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