Senior Analyst, Project Finance

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters.

Bitdeer is seeking a Senior Analyst, Project Finance to support financing and fundraising for GPU computing and data-center infrastructure. Based in Singapore, this role will work closely with the VP, Finance and cross-functional teams to develop models, evaluate funding alternatives, prepare transaction materials, and support execution. Direct GPU or Data Center experience is helpful but not required; the successful candidate will bring strong analytical skills and relevant experience from equipment finance, corporate finance, project finance or another transaction-oriented environment.

• →Build and maintain detailed financing, cash-flow, debt-service, and return models for GPU purchases and data-center projects.
• →Analyze financing alternatives, including equipment loans, leases, asset-backed facilities, project financing, private credit, vendor financing, and other structured solutions.
• →Prepare lender presentations, information packages, financial schedules, diligence responses, approval materials, and executive summaries.
• →Support financing processes from market research and lender outreach through term-sheet evaluation, diligence, documentation, closing, funding, and post-close monitoring.
• →Track project capital expenditures, funding availability, utilization, interest, covenant requirements, payment schedules, and key financing milestones.
• →Partner with Finance, Treasury, Legal, Tax, Accounting, Operations, and Procurement to validate assumptions and maintain consistent source data.
• →Develop scenario analyses connecting GPU deployment, utilization, power and facility capacity, revenue, operating costs, capital expenditures, and liquidity.
• →Improve templates, reporting, controls, and data processes that support a scalable global financing function.
• →Conduct market and comparable-transaction research on data-center, digital-infrastructure, equipment-finance, and AI-compute financing trends.
• →Support communications and execution activities with banks, equipment lessors, private-credit providers, infrastructure investors, and strategic partners.

• →A culture that values authenticity and diversity of thoughts and backgrounds;
• →An inclusive and respectable environment with open workspaces and exciting start-up spirit;
• →Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
• →Ability to contribute directly and make an impact on the future of the digital asset industry;
• →Involvement in new projects, developing processes/systems;
• →Personal accountability, autonomy, fast growth, and learning opportunities;
• →Attractive welfare benefits and developmental opportunities such as training and mentoring.

• Bachelor Degree in Finance, Accounting, Economics, Business, Engineering, or a related field.
• Minimum 5 years of relevant experience in corporate finance, project finance, equipment finance or leasing.
• Experience in data centers, GPUs, servers, technology hardware, energy, infrastructure, equipment leasing, or another capital-intensive sector is an advantage
• 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 the ability to work across functions, seniority levels, and geographies.