Lead Analyst-Project Finance

You will work alongside the Deal Team of a Global Asset Manager, supporting Infrastructure Debt investments across the U.S., Europe, LATAM, and APAC regions. This role involves taking exposure in loans/bonds securities, as well as direct and co-investments in Infrastructure Projects spanning various sectors such as energy, renewables, power, telecom, social infra, roadways, and airports. Your position will be part of the Credit Research Team. Your responsibilities will include comprehensive Portfolio Monitoring, involving the preparation of periodic Investment reviews for the invested portfolio. This will cover financial, operational, covenants, and compliance aspects, capturing key risks and mitigants, and providing analysis on performance updates. You will also be responsible for executing asset-specific consent, waiver, and amendment requests in a timely manner, while collaborating with Global Senior Asset Managers. Additionally, you will update and maintain Project Models, including Underwriting Models, to perform model sensitivities at the Asset level to facilitate asset management decisions. Regularly tracking and maintaining relevant scorecards for the internal rating exercise and external ratings of borrowers/relevant counterparties will also be part of your duties. Handling adhoc investor queries, managing relative workflows, maintaining/updating asset base trackers, and preparing summaries of news/events/third-party research reports relating to the Infra Debt portfolio will be essential tasks in this role. To succeed in this position, you must have 3-5 years of experience working in the project finance team of a top-tier investment or commercial bank, specialist advisor, credit rating agency, or an asset manager investing in energy or infrastructure. Financial modeling skills, including updating and maintaining forecast models, are required. Understanding of facility or loan agreements, presentation skills, quantitative skills, attention to detail, time management skills, and excellent written and verbal communication abilities are also necessary. An MBA or equivalent in Finance, CFA, or CA qualification is preferred. Advanced modeling skills will be considered an added advantage.,