Aspenpower

Aspenpower

Director, Project Finance

New York, New York · Director

Sponsorship not specifiedDetected 32 days ago
Business DevelopmentFinancial ModelingExcel

About the role

  • Director, Project Finance wanted by Safari Energy, LLC in New York, NY.
  • Oversee, mentor and train the Analysts, Associates and Managers on the Project Finance team dedicated to finance the company's solar projects.
  • Oversee due diligence process including Independent Engineer, Legal, Insurance and Environmental diligence.

Responsibilities

  • Manage and review financial models reflecting complex financing structures.
  • Review and negotiate financing documentation and supporting project documents.

Requirements

  • Master's degree in finance, environmental science and policy, or a closely related field and 3 years of experience in the job offered or in a manager role involving project and infrastructure finance.
  • Requires 3 years of experience with the following skills/tools (which may have been gained concurrently):

Skills

  • Operis Analysis Kit (OAK)
  • FAST Modeling Standard
  • Programming Language
  • Visual Basic for Applications (VBA)
  • Marketing intelligence and deal databases
  • IJGlobal, Inframation, Capital IQ
  • Apply online at https://aspenpower.com/ or send resumes to cmaron@aspenpower.com and list position title in Subject.

Compensation

  • Requires: Master's degree in finance, environmental science and policy, or a closely related field and 3 years of experience in the job offered or in a manager role involving project and infrastructure finance.
  • Requires 3 years of experience with the following skills/tools (which may have been gained concurrently):
  • Financial Modeling & Analysis
  • Microsoft Excel (Advanced)
  • Excel Add-ins: Operis Analysis Kit (OAK)
  • FAST Modeling Standard

Benefits

  • Act as the Finance lead overseeing project finance debt transactions, tax equity financings and other debt raising.

This listing is sourced directly from Aspenpower's careers page and normalized into a canonical job model.