Senior Analyst, Project Finance (AI/GPU Data Centers)

Location: Singapore, SG

Company

Technology company providing Bitcoin mining solutions, ASIC chips and mining rigs, computing infrastructure, and AI cloud capabilities, with global Bitcoin mining and HPC data-center operations.

What you will do

• Build and maintain financing, cash-flow, debt-service, return, and scenario models for GPU purchases and data-center projects.
• Analyze equipment loans, leases, asset-backed facilities, project financing, private credit, vendor financing, and other structured funding solutions.
• Prepare lender presentations, information packages, financial schedules, diligence responses, approval materials, and executive summaries.
• Support financing from market research and lender outreach through term-sheet evaluation, diligence, documentation, closing, funding, and post-close monitoring.
• Track capital expenditures, funding availability, utilization, interest, covenants, payment schedules, and financing milestones.
• Partner with Finance, Treasury, Legal, Tax, Accounting, Operations, and Procurement to validate assumptions, improve reporting and controls, and maintain consistent source data.

Requirements

• Bachelor’s degree in Finance, Accounting, Economics, Business, Engineering, or a related field.
• At least 5 years of relevant experience in corporate finance, project finance, equipment finance, or leasing.
• Experience supporting debt, lease, project-finance, private-credit, or asset-backed transactions.
• Familiarity with financial statements, credit agreements, covenant calculations, and financing-related accounting concepts.
• Advanced financial modeling and analytical skills with strong proficiency in Excel and PowerPoint.
• Ability to organize large volumes of financial and operational information and communicate conclusions clearly.
• Strong attention to detail, ownership, follow-through, and ability to manage multiple deadlines.
• Clear written and verbal communication skills and ability to work across functions, seniority levels, and geographies.

Nice to have

• Experience in data centers, GPUs, servers, technology hardware, energy, infrastructure, equipment leasing, or another capital-intensive sector.

Culture & Benefits

• Authentic and inclusive culture that values diversity of thought and background.
• Open workspace environment with a start-up spirit and opportunities to network with industrial pioneers.
• Opportunity to contribute to digital-asset industry projects and develop new processes and systems.
• Personal accountability, autonomy, fast growth, and learning opportunities.
• Welfare benefits, training, mentoring, and developmental opportunities.