Analyst - Financial Modelling

Job description :

OVERALL PURPOSE AND OBJECTIVE OF THIS POSITION :

- The Analyst - The overall objective of a Financial Modelling Expert/Analyst position is to build, refine, and maintain sophisticated financial models that deliver accurate forecasts, scenario analyses, and strategic insights to drive informed business decisions, investment evaluations, and risk management

- Financial Modelling will support evaluation and structuring of road/highway infrastructure projects under various frameworks such as BOT (Toll/Annuity), HAM (Hybrid Annuity Model), and InvIT structures. The role involves developing complex financial models, assessing project viability and supporting investment decisions.

QUALIFICATIONS & EXPERIENCE :

- MBA (Finance) / CA / CMA

- Minimum 3 years of experience in financial modeling in roads/highway sector or in infrastructure finance

- Candidates, having experience in preparation of financial modelling of at least 10 projects in a single financial model, will be preferred.

COMPETENCIES REQUIRED FOR THE JOB :

Core Competencies :

- Integrity & Accountability - Demonstrate integrity, accountability and efficient stewardship of company resources in a manner consistent with the standards of ethical conduct & other policies.

- Teamwork & collaboration - Demonstrate the ability to work effectively with others towards a common goal by building positive relationships, communicating, and actively participating in team decision-making

- Adaptability / Resilience - Demonstrate the ability to adjust & perform under pressure and changing circumstances and work effectively in different situations

Functional Competencies :

- Financial Analysis - Demonstrate the ability to analyse financial statements and financial metrics to assess the financial health, identifies potential risks, opportunities, and return on investment.

- Understanding of concession agreements and regulatory frameworks.

- Advanced proficiency in MS-Excel. Knowledge of Python (with libraries like Pandas, NumPy) or R and data visualising tools would be considered advantageous.