Apprentice (R-20077)

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

Conduct techno-economic and financial evaluations of greenfield and brownfield infrastructure projects, assessing project viability, risks, and long-term sustainability. Review project documents including DPRs, feasibility studies, concession agreements, PPAs, EPC and O&M contracts, regulatory approvals, and financing arrangements. Perform comprehensive risk assessments covering construction, operational, regulatory, market, demand, and counterparty risks, while evaluating project readiness and execution capabilities. Develop and review project finance models, including cash flow projections, DSCR, LLCR, IRR, sensitivity analyses, funding structures, and debt servicing capacity assessments. Prepare detailed appraisal, due diligence, and investment reports, supporting credit committees, investment decisions, stakeholder discussions, and lender requirements. Collaborate with developers, lenders, EPC contractors, DFIs, regulators, and internal teams to facilitate project evaluations, financial closures, and strategic decision-making.

MBA (Finance), PGDM (Finance/Infrastructure), B.E./B.Tech or CA freshers with relevant internship/project experience in infrastructure, project finance, investment analysis, or related domains. Strong understanding of project finance fundamentals, financial statement analysis, infrastructure sectors, PPP models, and concession-based projects. Ability to perform financial analysis and build basic project finance models, including cash flow projections, debt servicing metrics, and sensitivity analysis. Strong analytical, problem-solving, and research skills with keen attention to detail and the ability to derive meaningful insights from complex data. Proficiency in MS Excel, PowerPoint, and Word, along with a proactive attitude, strong organizational skills, and eagerness to learn in a fast-paced consulting and advisory environment.