AEF's mission is to provide full service solutions to Citi's clients in the Renewable Energy and Energy Efficiency sectors, some of the fastest growing areas globally. AEF works closely with partners within CMO (Global Structured Debt, Derivatives, Syndicate, Equity Capital Markets, Debt Capital Markets, Securitization, Leveraged Finance), across other Citi businesses (Investment Banking, Markets, Commodities, Municipal Finance, Export Agency Finance, Private Banking, Credit Opportunities Fund), and key control functions (Risk, Tax) to offer a full suite of financing, advisory, and hedging products. AEF develops and offers a comprehensive set of innovative and customized financing solutions to Citi's clients, including tax equity financing (a mezzanine project financing that allows clients to monetize various tax incentives provided by the US Government), renewable energy pool financing (warehouse, asset backed securitizations and whole loan placement), USDA and DOE guaranteed financings, emerging technology financing, and advisory services. AEF has developed extensive expertise in financing various renewable energy technologies including: wind, solar, waste-to-energy, geothermal, biomass, biofuels, fuel cells, energy efficiency and other emerging technologies. AEF often acts as principal and invests in projects on behalf of Citi.
Develop and run complex financial models
Lead role in project due diligence, credit analysis, and interaction with 3rd party experts
Participate in meetings with clients, other investors, and lawyers
Prepare all internal approval documentation (including comprehensive credit analysis)
Prepare presentations for clients and senior management
Lead role in managing existing portfolio
Minimum one year of experience in a financial services related role (investment banking, accounting, risk management, etc.).
Strong analytical and credit analysis skills
Strong interpersonal, communication and presentation skills
Proficiency in Microsoft Office, particularly Excel
Prior experience with financial modelling or similar quantitative experience is strongly recommended
Internal Number: 6246533
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