Senior Financial Modeling Analyst

NTT Global Data Centers; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Job summary

NTT Global Data Centers seeks a Senior Financial Modeling Analyst to develop, maintain, and interpret complex models for large-scale data center investments and strategic initiatives.

You will work with investment teams across regions (APAC, India, EMEA) in a hybrid setup to translate inputs into decision-ready insights and present to executives. Strong Excel, IRR/NPV, and debt financing expertise are required; MBA/CPA preferred.

Qualifications

• Bachelor’s degree in accounting or finance required.
• MBA/CPA preferred.
• Several years progressive experience in finance.
• Experience with investors preferred.
• Strong experience in Financial modeling (advanced Excel) & Capital budgeting, IRR/NPV analysis
• Ability to translate ambiguous inputs into structured model, Identify key value drivers and risks & perform sensitivity and downside analysis
• Ability to Communicate complex modeling outputs clearly and support senior stakeholders with decision-ready insights
• Ability to conduct and prepare comprehensive and detailed data analysis and output reports for stakeholders
• Proficient with Word, Excel, Outlook and AI tools as approved by the organization
• Strong ability to create context in Power Point is required
• Revenue Recognition knowledge in preferred
• Excellent communication and stakeholder management skills

Responsibilities

• Build business cases for new sites and GW-scale projects.
• Analyze inputs for reasonableness and comparison to investments.
• Model returns (IRR, NPV), cashflows, and sensitivities.
• Support lifecycle business case development (greenfield, expansion, recapitalization).
• Develop debt and capital structure components within models.
• Model multi-entity investments and funding flows.
• Assess impact of large customer deals on portfolio economics.
• Update forecasts, budgets, and financing changes in business cases.
• Ensure alignment with investor models and lending requirements.
• Prepare executive presentations with financial metrics.
• Travel 5-10% as needed.

Skills

Advanced Excel

IRR/NPV analysis

Debt financing

Scenario analytics

PowerPoint

Stakeholder management

Education

Bachelor's degree in accounting or finance

MBA/CPA preferred

Tools

Microsoft Word

Microsoft Excel

Microsoft Outlook

PowerPoint

Job description

As our Senior Financial Modeling Analyst you will report to the Senior Director-Global Investment Financial Analysis. This position is a high-impact role responsible for developing, maintaining, and interpreting complex business case models supporting large-scale (GW-level) data center investments and strategic initiatives.

This role plays a critical part in:

• Supporting investment decision-making for large hyperscale and multi-GW development programs
• Translating commercial, operational, and financing inputs into robust financial models
• Partnering closely with, Investment team to support DevCo formation, capital structuring, and execution of large deals
• Support sales by evaluating impact of large sales deals on Asset ROI.

This position requires deep technical modeling expertise with strong focus on debt financing, capital structure mechanics, and scenario analytics.

What we are looking for

• Bachelor’s degree in accounting or finance required
• MBA/CPA preferred
• Several years progressive experience in finance
• Experience with investors preferred
• Strong experience in Financial modeling (advanced Excel) &Capital budgeting, IRR/NPV analysis
• Ability to translate ambiguous inputs into structured model, Identify key value drivers and risks & perform sensitivity and downside analysis
• Ability to Communicate complex modeling outputs clearly and support senior stakeholders with decision-ready insights
• Ability to conduct and prepare comprehensive and detailed data analysis and output reports for stakeholders
• Proficient with computers to include the utilization of Microsoft programs such as Word, Excel, and Outlook and AI tools as approved by the organization
• Strong ability to create context in Power Point is required
• Revenue Recognition knowledge in preferred
• Excellent communication and stakeholder management skills

What you will do

• Work with other departments to pull together assumptions to build business case for new sites/GW scale sites
• Analyze business case inputs for reasonableness and comparison to other investments
• Ensure robust modeling of returns (IRR, NPV), cashflows, and sensitivities
• Support business case development across lifecycle: greenfield, expansion, recapitalization, and DevCo structures
• Develop and maintain detailed debt and capital structure components within business case models
• Model Multi-entity investment structures, Capital stacking and funding flows and Impact of large anchor deals on portfolio returns
• Impact of large customer deals on project economics and capital efficiency
• Update business cases with Budget vs actuals, Revised forecasts, Financing changes and deal update
• Ensure alignment with Investor models, Lending requirements, Internal reporting frameworks
• Update new site business cases with actuals, revised forecast assumptions and compare against original business case
• Analyze financial results and evaluate asset performance
• Prepare power point presentations for Executive audience communicating financial metrics
• Performs other duties as assigned
• This position is expected to be working in a hybrid working environment that is work from office and home as per the HR policy
• This position might be required to support regions spread across different geographies (APAC, India, EMEA) with occasional requirement to attend meetings in USA timings and hence should be flexible to work in multiple time zones on need basis
• Travel 5-10% of the time

Who we are

As the third largest data center provider, we operate over 150 data centers in more than 20 countries and regions. We understand that every business – large and small – has its own unique needs and goals. We offer local-to-global data center expertise, aligned with our connected platform of AI-ready data centers to create solutions that enable our clients to seamlessly scale their digital businesses, anywhere and anytime.