Data Operational/Financial Modeling Analyst

Data Operational / Financial Modelling Analyst - Turbe - Navi Mumbai Location.

Responsibilities:

- As a Data Operational Analyst , you will play a crucial role in assessing the financial viability and credit risk associated with various projects and investments. You will prepare comprehensive Techno-Economic Viability (TEV) reports mandated by banks and financial institutions, providing critical insights that drive strategic decision-making.

- Data Collection: Gather and analyze market data and technical data relevant to financial performance, including industry trends, economic indicators, and competitor analysis.

- Financial Modeling: Develop and enhance complex financial models to project revenues, expenses, and profitability based on collated data.

- Assumption Development: Drive the creation of key assumptions for financial projections by interpreting market and technical data, ensuring they align with business objectives.

- Scenario Analysis: Conduct scenario and sensitivity analyses to assess the impact of various assumptions on financial outcomes.

- Reporting: Prepare clear and concise reports and presentations that communicate findings and recommendations to stakeholders.

- Report Preparation: Compile and synthesize insights from all stakeholders, creating clear and concise reports that incorporate both market and technical assessments to support informed decision-making.

Desired Candidate:

- Bachelor's degree in Finance, Economics, Risk Management, or a related field.

- Proven experience in financial modeling, credit risk analysis, and preparing TEV reports, preferably in a corporate or financial institution setting.

- Strong proficiency in Excel and financial modeling software; familiarity with SQL and data visualization tools is a plus.

- Excellent analytical skills with the ability to interpret complex data and present findings in a clear, concise manner.

- Strong communication skills, capable of conveying technical information to non-technical stakeholders.

- Detail-oriented with a proactive approach to financial analysis and risk management.