name

AI Infrastructure Credit Research Analyst

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

Employment Type: Full-TimeWork Setting: In-office/Remote
Work Location: United States/RemoteWork Hours: Office hours
Find out more here:

About SemiAnalysis
SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to cutting-edge AI Models, software, and infrastructure. We are recognized as the leading authority on the semiconductor supply chain, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.
We are a global team of analysts, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry shaping articles while participating in numerous conferences annually.
Our newsletters reach more than 200,000 subscribers worldwide, including senior management and c-suite leaders at the leading semiconductor and AI companies.
We also offer three core products:

Industry Models – we develop and publish industry models on accelerator shipments, datacentre demand and supply, GPU total cost of ownership, and more. We work with hyperscalers, neoclouds, many of the world’s largest hedge funds, and government agencies.

Core Research – our public equity markets product, geared towards financial investors, distils our deep technical research and knowledge into key insights on technology and product trends.

Consulting and Technical Due Diligence – We conduct custom research and project work to guide key strategic and investment decisions for the largest private equity funds, leading venture capital firms, companies across the AI ecosystem, and government agencies.

Position Overview
SemiAnalysis is seeking an AI Infrastructure Credit Research Analyst to lead our coverage of how the global AI infrastructure buildout is financed.
This role will examine who is providing capital, how financing arrangements are structured, the terms attached to that capital, and where the underlying financial risk ultimately sits. The analysis will combine SemiAnalysis’s proprietary datacenter and semiconductor supply chain data with detailed balance-sheet, credit, and financial intermediation research.
The successful candidate will build the firm’s coverage of AI infrastructure credit from the ground up, producing definitive research for credit investors, limited partners, financial institutions, regulators, and other market participants.
Responsibilities

Analyze the full financing stack supporting the AI infrastructure buildout, including:

Hyperscalers balance sheets

Neoclouds and AI cloud debt

GPU-backed lending

Datacenter asset-backed securities

Project finance

Private credit funds

Business development companies

Special-purpose vehicles

Vendor financing arrangements

Map financing relationships across the AI ecosystem, identifying:

Who is lending to whom

The terms and maturity profiles of the financing

The structures through which capital is provided

The parties ultimately holding the credit and asset risk

Build quantitative models to assess credit risk across AI infrastructure investments.

Evaluate counterparty exposure, concentration risk, and dependencies across borrowers, lenders, investors, equipment vendors, and infrastructure providers.

Model the value and resilience of collateral, including:

GPU depreciation and residual value

Power purchase agreements

Datacenter leases

Capacity contracts

Equipment financing arrangements

Analyze interest-rate sensitivity, refinancing requirements, maturity walls, covenant structures, and liquidity risks.

Develop downside and stress scenarios to assess how weaker demand, declining hardware values, delayed construction, power constraints, or tighter financial conditions could affect borrowers and lenders.

Track the migration of lending activity from regulated banks to nonbank financial institutions.

Assess how the growth of private credit and nonbank lending changes where financial risk is concentrated and how losses could spread during a downturn.

Produce flagship research reports and recurring coverage on AI infrastructure financing and credit markets.

Build proprietary datasets from bank reports, fund filings, corporate disclosures, securitization documents, loan agreements, and other financial sources.

Work closely with SemiAnalysis’s datacenter, semiconductor, energy, and supply chain teams to ensure financial analysis is grounded in what is physically being built, contracted, delivered, and energized.

Present research findings to clients and represent SemiAnalysis’s credit views through public writing, meetings, podcasts, conferences, and other industry discussions.

Requirements

Deep expertise in credit markets, banking, financial intermediation, structured finance, or related areas.

Relevant background may include:

Bachelors' Degree in financial economics or a related discipline

Sell-side credit or macroeconomic research

Buy-side credit research

Central bank or financial stability research

Private credit or structured finance experience

Equivalent professional research experience

Strong understanding of corporate, bank, and investment fund balance sheets.

Ability to independently interpret complex financial documents, including:

Bank call reports

Corporate filings

Fund and BDC disclosures

Asset-backed securities documentation

Credit agreements

Project finance structures

Special-purpose vehicle documentation

Strong credit judgement and the ability to identify hidden leverage, off-balance-sheet exposure, weak collateral, refinancing risk, and structural subordination.

Strong empirical and quantitative skills, including the ability to build original datasets and analytical models.

Ability to validate assumptions, defend methodologies, and clearly explain the limitations of available data.

Strong written communication skills and the ability to produce clear, rigorous research for a demanding professional audience.

Ability to work accurately and efficiently under publication deadlines.

High level of intellectual independence and willingness to publish conclusions that may differ from prevailing market views.

Preferred Skills

Research or investment experience covering:

Private credit

Nonbank financial institutions

Leveraged finance

Structured credit

Asset-backed securities

Project finance

Financial stability

Bank and nonbank intermediation

Understanding of how financial intermediation has evolved since the 2008 global financial crisis.

Named authorship on published research from a:

Sell-side research team

Central bank

Bank economics team

International Monetary Fund

Bank for International Settlements

Policy or financial research institution

Experience analyzing interest rates and the transmission of monetary policy into lending standards, credit availability, asset values, and refinancing conditions.

Familiarity with datacenters, semiconductor economics, AI infrastructure, or power markets.

Experience analyzing infrastructure financing structures or capital-intensive technology investment cycles.

Proficiency in Python, SQL, Excel, or other tools used for financial modelling and data analysis.

Experience working with large, fragmented, or difficult-to-structure financial datasets.

Strong presentation and client communication skills.

Growth Areas
This role offers the opportunity to:

Define SemiAnalysis’s AI infrastructure credit and financing coverage from the ground up.

Become a leading industry voice on how the AI buildout is financed and where the associated financial risks are concentrated.

Build proprietary credit datasets using SemiAnalysis’s unique information on datacenter construction, power availability, accelerator shipments, hardware deployments, and supply chain activity.

Develop original risk frameworks for emerging financing structures such as GPU-backed lending, neoclouds debt, private credit facilities, and AI infrastructure securitizations.

Expand coverage into adjacent areas such as:

Datacenter project finance

Energy infrastructure financing

Structured credit

Financial stability

Private market leverage

Vendor and equipment financing

Monetary policy and credit transmission

Work directly with credit investors, private credit firms, banks, asset managers, limited partners, regulators, and companies involved in financing AI infrastructure.

Publish research that becomes reference material for the industry and contributes to policy and regulatory discussions.

Grow into a leadership role overseeing broader credit, financial markets, and capital structure research within SemiAnalysis.

SemiAnalysis LLC participates in the E-Verify program to confirm the employment eligibility of all newly hired employees. For more information, visit .

E-Verify Poster:

Right to Work Poster:

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Business Development Excel Finance MySQL Python remote

Likely questions

  1. Tell us about work you have done that is close to the AI Infrastructure Credit Research Analyst role.
  2. How would you approach your first 30 days at name?
  3. Which of Business Development, Excel and Finance have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Business Development, Excel and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the AI Infrastructure Credit Research Analyst role because I can bring practical experience in Business Development, Excel and Finance, learn the team quickly, and contribute to the outcomes name needs from this hire.

Related jobs.

More roles from this company or category.