Senior Consultant - financial modelling and economic analysis

WSP in India; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

WSP India seeks a Senior Consultant with expertise in financial modelling and economic analysis to support high-profile advisory and transaction assignments across real asset sectors.

You will work at the intersection of financial analysis, commercial insight, and operational understanding, helping clients evaluate investment opportunities, assess risks, and develop robust forward-looking projections across energy, transport, and social infrastructure sectors.

Qualifications

• Experience in infrastructure / investment advisory or related consulting.
• Strong expertise in financial modelling with project finance and cash flows.
• Ability to review financial projections and challenge assumptions.

Responsibilities

• Develop, review, and maintain auditable financial models (project finance, asset-level, portfolio).
• Analyze revenue, demand, capex, opex, and performance benchmarks.
• Support due diligence from a financial and economic perspective.
• Review business plans and financial projections for consistency with technical inputs.
• Identify risks, gaps, and provide independent views on assumptions, inputs, and outputs.
• Contribute to bids with robust asset and demand insights; prepare client-ready outputs.

Skills

Financial modelling

Project finance

Economic analysis

Excel advanced

Stakeholder communication

Education

MBA in Finance

Tools

Excel

Power BI

Job description

At WSP, we are driven by a shared purpose: to create positive, long-lasting impacts on the world around us. As a global leader in strategic advisory services, we are proud to have been named #1 Advisor by Deal Value in 2024 by Infranews.

We are seeking an experienced Senior Consultant with expertise in financial modelling and economic analysis to support high‑profile advisory and transaction assignments across a broad range of real asset sectors.

The role involves working at the intersection of financial analysis, commercial insight, and operational understanding, supporting clients in evaluating investment opportunities, assessing risks, and developing robust forward‑looking projections, while also providing exposure to a broader range of infrastructure sectors, including energy, transport and social infrastructure, across high‑profile investment transactions and strategic advisory mandates.

Responsibilities

Financial Modelling & Analysis

• Developing, reviewing, and maintaining robust, auditable financial models (project finance, asset‑level, and portfolio models).
• Analyzing key value drivers, including revenue, demand, and utilisation dynamics; capex (initial, expansion, lifecycle) and cost phasing; operating cost structures and performance benchmarks.
• Performing investment appraisal and returns analysis (IRR, NPV, payback, and where relevant lender metrics such as DSCR).
• Designing and executing scenario and sensitivity analysis to assess downside resilience and upside potential.

Economic & Market Analysis

• Undertaking macro, sectoral, and market analysis, including demand drivers (economic growth, demographics, industry trends), competitive positioning and benchmarking, regulatory and policy considerations.
• Translating economic and demand insights into quantitative modelling assumptions.

Transaction & Strategic Advisory

• Supporting the delivery of technical and commercial due diligence assignments from a financial and economic perspective.
• Reviewing business plans and financial projections prepared by sponsors or operators, including revenue and demand assumptions, capex programmes and lifecycle requirements, operating strategies and cost forecasts.
• Identifying key risks, gaps, and inconsistencies, and providing independent views on the robustness of underlying assumptions.
• Providing technical and commercial input into bids and pursuits, shaping competitive proposals through robust asset and demand insights.
• Supporting development and refinement of investment cases, financial projections, and strategic plans.
• Reviewing data‑room materials and financial models, ensuring consistency between technical, commercial, and financial inputs.
• Preparing client‑ready outputs, articulating key risks, sensitivities, and value drivers to support decision‑making.
• Working closely with multidisciplinary teams to ensure alignment between technical assumptions and financial outputs.

Qualifications

• Relevant experience in infrastructure / investment advisory, project finance / financial advisory, or consulting/transaction environments.
• Strong expertise in financial modelling – project finance/cash‑flow models, model review and validation.
• Experience in reviewing and challenging financial projections and underlying assumptions.
• Exposure to multiple sectors / asset classes (sector‑agnostic profile preferred).
• Strong understanding of revenue and cost drivers, lifecycle capex and operating models, investment appraisal methodologies.
• Experience in economic and market analysis supporting investment decisions.
• Advanced Excel capability with focus on model transparency, auditability, and flexibility.
• Ability to work in multidisciplinary teams and deliver under tight timelines.
• Strong communication skills, translating complex analysis into clear insights for investors and lenders.

Background Verification (BGV)

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third‑party agency appointed by WSP India.
• Candidates are advised to ensure that all information provided during the recruitment process is accurate and complete.

Equal Opportunity & Diversity

WSP India is dedicated to fostering a sustainable and inclusive work environment where all employees feel valued, respected, and supported. The company ensures an unbiased approach in hiring and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.