You will work directly with the CFO and founders to shape Holidu's financial architecture and capital allocation, ensuring the company is optimally structured to support growth, operational efficiency, and future financing initiatives.

Responsibilities:

• Capital structure and treasury: Optimize capital structure, cash planning and debt financing (including working capital facilities) to drive long-term financial sustainability
• M&A: Lead financial and tax due diligence and support post-acquisition financial integrations
• Corporate tax strategy: Oversee corporate tax planning together with external advisors; oversee transfer pricing policies and intercompany structures (including VAT treatment)
• Investor and board reporting: Support investor/board materials preparation and fundraising
• Drive strategic initiatives: Partner with management on high-impact strategic projects including M&A (post-merger financial integration, tax structuring), strategic partnerships, business model innovation, and international expansion (legal entity setup, local compliance, and contracting)

Qualifications:

• 8+ years of experience in corporate finance, investment banking, or VC/PE, and ideally within high-growth companies
• Strong commercial acumen applied to financial decision-making
• Exceptional financial modeling, valuation, and scenario analysis skills, with the ability to influence management and cross-functional stakeholders through clear, data-driven insights
• Experience coordinating cross-functional projects including significant external advisor involvement
• Business proficiency in English (written and spoken)
• Experience supporting or leading fundraising and/or M&A transactions is valued
• Experience in procurement is valued
• Experience in a tech scale-up or SaaS business model is valued

Our adventure includes:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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Key responsibilities include:

• Serving as the embedded tax partner to Infrastructure team on deal intake: gathering facts on site specs, counterparty structure, commercial terms, and timing; providing structure review and term-sheet input early enough to shape the deal

• Leading Incentives workstream on state and local incentives, sales and use exemptions, and site selection tax input; ensuring incentive commitments and compliance obligations are reflected in the integrated tax position for each site

• Partnering with Tax Transactions and Tax Planning teams on lease characterization, entity structure, and contract tax provisions; owning the tax read on lease-versus-purchase, and treatment across a portfolio of non-standard structures

• Leading after-tax deal economics: bonus depreciation modeling on large-scale buildouts, NOL utilization, and scenario analysis; partnering with Tax Planning and FP&A to ensure tax assumptions are reflected accurately in deal approval packages

• Coordinating with Technical Accounting on lease-versus-purchase treatment, consolidation questions, capitalization policy, and book-tax differences across a range of deal structures

• Standing up and maintaining datacenter entity structures across jurisdictions: entity formation, operationalization with local teams, contemporaneous documentation, withholding on cross-border financing, permanent establishment risk, and debt-versus-equity characterization

• Partnering with transfer pricing on policy for the infrastructure footprint: intercompany compute pricing, benchmarking, and documentation that will withstand scrutiny as intercompany flows scale

• Partnering with the tax provision team on quarterly impact of new structures and deferred tax positions; ensuring there are no surprises between deal close and quarter close

• Building and maintaining infrastructure tax playbooks, issue-spotting checklists, and internal processes so the function scales with deal volume rather than linearly with headcount

If you have 12+ years of tax experience with significant exposure to datacenter, REIT, or large-scale real estate tax planning, including meaningful international range, and a JD or CPA, you may be a good fit for this role.

Strong candidates may also have Big 4 or law firm experience in a datacenter, REIT, or infrastructure tax practice, in-house tax experience at a hyperscaler, cloud provider, or large-scale datacenter operator, hands-on transfer pricing experience for intercompany services or compute, including benchmarking and documentation, experience with the owner-operator transition, background in state and local incentives, economic development negotiation, or site selection tax, experience with non-US datacenter tax regimes and cross-border infrastructure structures, and existing relationships with datacenter developers, REIT tax counsel, or Big 4 infrastructure tax teams.

The annual compensation range for this role is $300,000-$370,000 USD.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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Your main responsibilities will be:

• Strategic Execution & Cross-Functional Delivery: Own 3–5 CEO-priority initiatives end-to-end, act as the cross-functional glue, and run structured initiative tracking.
• Commercial Strategy & Growth Support: Support the sales organization with strategic analysis, build and refine commercial pitches and proposals, and partner with Product on roadmap prioritization.
• Performance Visibility & Operating Cadences: Own the company-level KPI dashboard, prepare executive-ready performance summaries, and design and run the leadership operating rhythm.
• Process Design & Operational Scalability: Spot operational friction in how the leadership layer works and fix it, standardize recurring workflows, and introduce tools and systems that improve execution speed.
• Communications & Stakeholder Coordination: Draft and manage CEO communications, serve as the connective layer between the CEO and functional leads, and prepare briefing packages for investor meetings, partner discussions, and external engagements.

To be successful in this role, you will need to have:

• 3+ years of experience in management consulting, business operations, strategy, or similar high-ownership roles.
• Strong ability to manage complex, cross-functional initiatives end-to-end.
• Advanced Excel/Google Sheets skills: financial modeling, scenario analysis, pivot tables, data manipulation.
• Solid analytical skills with the ability to turn data into clear, actionable insights, business cases, and executive-ready narratives.
• Excellent written and verbal communication, with comfort building pitches, presenting to senior stakeholders, and challenging assumptions constructively.
• Proven ability to operate in ambiguous, fast-paced, high-growth environments.
• High EQ and influence skills: drive accountability across teams without formal authority.

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We're hiring a Senior Manager, Strategic Finance to be the VP of FP&A's analytical right-hand and the architect of our long-range financial model. You excel at building dynamic, accurate, scalable 3-statement models grounded in unit economics and operational drivers. You've lived in Excel,investment banking, PE, hedge funds, equity research,and you bring a forward-looking mindset around leveraging cloud tools, automation, and analytics to elevate what modelling can do.

This is the analytical engine of Strategic Finance, with a natural path to Investor Relations as the company scales.

Responsibilities:

• Build the Company's Strategic Financial Model
• Own and build the fully integrated 3-statement model based on unit economics, KPIs, and industry benchmarks
• Lead the long-range plan (LRP) and multi-scenario modelling
• Tie operational drivers,production ramps, R&D, contract timing, GTM,to financial outcomes
• Build valuation frameworks, sensitivities, and investor-grade outputs
• Maintain a forward-looking view on risks, opportunities, and strategic drivers

• Digitise & Scale the Modelling Infrastructure:
• Partner with data engineering and systems teams to evolve models from Excel to modern cloud-based planning tools
• Build modular, scalable structures where Excel is used only for high-value analysis
• Use analytics and automation to reduce manual modelling and increase clarity

• Analyse the Business Like an Investor:
• Benchmark peers in defence, autonomy, robotics, aerospace, and industrial tech
• Build competitor profiles, KPI benchmarks, and market analyses
• Develop a POV on unit economics, efficiency, scale, and profitability
• Support M&A modelling, valuation, and diligence
• Provide clear, strategic insights,not just numbers

• Lead Cash Flow & Liquidity Modelling (with Corporate Finance):
• Build rolling cash forecasts across working capital, inventory, milestone payments, and CapEx
• Model hardware cycles, government payment timing, and program cash curves
• Identify liquidity risks early and shape capital allocation decisions

• Partner Across the Company:
• Work directly with the VP FP&A, CFO, and CEO on forward-looking financial questions
• Translate engineering, program, and operations plans into financial impacts
• Connect short-term forecasting to the LRP
• Present insights that drive decisions and accelerate execution

Requirements:

• Analytical athlete with elite attention to detail
• Clear, structured thinker with strong modelling intuition
• Fast, accurate, and comfortable under pressure
• Curious and forward-looking,always asking “why?”
• Strong communicator who elevates decision quality
• Mission-driven and energised by complex, meaningful problems

Qualifications:

• 8+ years in investment banking, private equity, hedge funds, equity research, or elite financial services
• Best-in-class Excel modeller: integrated 3-statement models, valuations, sensitivities, unit economics, scenario analysis
• Experience analysing defence, aerospace, autonomy, robotics, industrial tech, or HW/SW companies
• Strong command of unit economics and driver-based forecasting
• Experience building LRPs and enterprise valuation frameworks
• Deep cash flow and liquidity modelling expertise
• High proficiency with financial statements and GAAP mechanics
• Systems mindset,comfortable partnering with data/systems teams
• Thrives in fast-moving, high-growth environments

Preferred Qualifications:

• Familiarity with government contract economics and milestone-based revenue
• M&A experience: modelling, valuation, diligence
• Exposure to manufacturing scale, supply chain, and hardware production cycles
• Data fluency: dashboards, financial databases, or BI tools

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The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. We are seeking a Capital and Risk Analytics Lead within the Global Analytics team to support the firm’s business across both banking and markets regulatory regimes.

Technical Skills:

• Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk
• Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis
• Proficiency in a programming language such as Python, R, or similar
• Experience working with large datasets and analytical tools to support risk and capital analysis
• Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review

Complexity and Impact of Work:

• Own capital and risk analytics across banking and other regulatory requirements
• Design and maintain frameworks for margin, settlement exposure, netting, prefunding, and liquidity analysis
• Perform scenario analysis and stress testing tied to market volatility, volume growth, and adverse conditions
• Evaluate capital and risk tradeoffs to support product design, limits, and settlement architecture
• Produce clear documentation and governance artifacts to support supervisory discussions and internal controls
• Lead complex analytical workstreams end-to-end with limited oversight while coordinating with cross-functional partners

Organizational Knowledge:

• Have a deep knowledge of the strategy of Anchorage Digital and its various business lines
• Familiarity with U.S. banking regulatory requirements and supervisory expectations, and understand their impact on the organization

Communication and Influence:

• Write, edit, and review technical documents suitable for regulatory, executive, and internal stakeholder audiences
• Produce clear reports and presentations translating complex analytics into business-relevant insights
• Act as a trusted quantitative partner to senior leadership on capital and risk-related decisions
• Contribute to cross-functional initiatives and collaborate closely with Product, Risk, Legal, Compliance, Finance, and Engineering teams
• Provide guidance or informal training to other team members on capital and risk topics

You may be a fit for this role if you have:

• Bachelor’s degree in a quantitative field such as statistics, applied mathematics, economics, quantitative finance, and operations research. Advanced degrees preferred.
• 8+ years of experience in capital, margin, or risk analytics within banking, derivatives markets, clearing, or regulated financial infrastructure
• Direct experience with capital adequacy, margin requirements, counterparty exposure, or liquidity risk
• Hands-on experience designing and maintaining quantitative frameworks used in regulated environments
• Experience writing and defending analytical methodologies in regulatory or supervisory contexts

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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This is a high-impact, hands-on quantitative role where you will build scalable analytics infrastructure, run real-time analysis when the business needs answers fast, and stress test portfolios under a range of scenarios. You will work at the intersection of financial theory, data science, and engineering.

People make this organization, and in this role, it is your mission to cultivate and contribute to a culture of risk management, continuous improvement, and strategic innovation. A healthy outcome is a business that is both agile and resilient, capable of navigating the complexities of the crypto market while achieving its strategic goals.

Technical Skills:

• Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment
• Build scalable analytics pipelines in Python to automate reporting, data transformation, and real-time risk monitoring
• Execute portfolio margin stress tests and scenario analysis under tight timelines, delivering actionable insights to stakeholders

Complexity and Impact of Work:

• Lead end-to-end development of quantitative analysis tools from problem definition through production deployment with minimal oversight
• Run ad-hoc real-time analysis when the business needs answers fast and deliver under pressure
• Navigate ambiguous risk problems by selecting appropriate quantitative methods and articulating trade-offs to stakeholders
• Break down large projects into manageable workstreams, accurately estimate scope, and deliver on commitments

Organizational Knowledge:

• Collaborate closely with Trading, Sales, Compliance, Treasury, and Operations to ensure risk analysis and tools are embedded in business decisions
• Monitor industry trends, regulatory developments, and emerging best practices in quantitative risk management
• Sharing insights across teams to ensure broad understanding and adoption

Communication and Influence:

• Translate complex quantitative concepts into clear, actionable insights for technical and non-technical audiences
• Mentor junior team members on quantitative methods, analytics tooling, and professional development
• Build relationships across teams to drive adoption of risk frameworks and influence how the organization thinks about risk

You may be a fit for this role if you have:

• 8+ years of experience in quantitative finance, financial risk management, or a related quantitative discipline
• Advanced degree (Master's or PhD) in a quantitative field
• Proven track record of building quantitative analysis tools for risk management (credit, market, liquidity risk)
• You ask questions, dig into the data, and proactively explore new angles; you're not satisfied with surface-level answers
• Deep expertise in risk monitoring and reporting, including experience building or operating real-time risk dashboards and producing executive-level risk reports
• Experience with portfolio stress testing and scenario analysis in a professional setting
• Experience working with large datasets and analytical tools to support risk analysis
• Experience with regulators and regulatory exams
• You drive initiatives independently, proactively identify and solve problems, and take accountability for results

Although not a requirement, bonus points if:

• You have experience with digital assets, crypto, or blockchain-related financial products
• You have an understanding of operational risk and how it intersects with credit, market, and liquidity risk
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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Key Responsibilities:

Liquidity and Cash Management: Own liquidity forecasting and cash planning; define liquidity buffers and escalation triggers. Oversee day-to-day treasury operations, bank account structures, cash movements, and payment flows.

Capital / Own Funds Governance: Support own funds monitoring and capital planning aligned with the applicable prudential framework for our company. Prepare capital and liquidity reporting packs for senior management and the Board.

Banking Relationships and Counterparty Risk: Manage key banking relationships, service levels, and operational performance; support selection and onboarding of new banking partners. Monitor counterparty risk and contribute to contingency planning and operational resilience arrangements.

Safeguarding Oversight and Coordination: Partner with Safeguarding and Finance to ensure customer funds safeguarding structures are robust and aligned with operational and control requirements. Support oversight of permitted investment approaches (where applicable) and related reporting and controls.

Reporting, Controls, and Continuous Improvement: Implement and operate treasury controls, reconciliations, and evidence packs; support audits and supervisory requests. Drive continuous improvement and automation of forecasting and treasury reporting workflows.

Key Requirements:

Education: Bachelor’s or Master’s degree in Finance, Treasury, Economics, or a related field.

Experience: 5+ years in treasury, liquidity, capital, or cash management roles within regulated financial services (payments/EMI, fintech, bank, or capital markets). Experience building treasury controls and governance, including Board-ready reporting.

Skills: Strong analytical capability (forecasting, scenario analysis, stress considerations) and strong controls mindset. Excellent stakeholder management, with the ability to operate effectively in a fast-paced, scaling environment.

Languages: Fluent English required

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About the Team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.

About the Role

We are looking for a Cybersecurity Landscape Analyst to help OpenAI understand how the external cyber threat environment is evolving—and what it means for our products, customers, and the broader AI ecosystem.

This is an outward-facing intelligence and analysis role. The Cybersecurity Landscape Analyst monitors emerging attacker TTPs, threat-group behaviors, infrastructure trends, and real-world cyber innovation at the intersection of AI and all cyber threat surfaces including devices and robotics. Using structured research, competitive intelligence, adversarial thinking, and scenario analysis, you will stress-test assumptions about how frontier AI capabilities could be misused, targeted, or integrated into broader cyber campaigns—even in the absence of active warnings or internal incidents.

This role does not conduct internal investigations, run detection on platform data, or own OpenAI’s infrastructure protection or incident response. Instead, this role translates the external cyber landscape into clear risk context, strategic foresight, and decision support for internal stakeholders, with defined handoffs into operational, detection, and security teams. While not the owner of those functions, the role works closely across cross-functional teams, drawing on their operational perspectives to sharpen external analysis, while bringing to them external insights, threat trends, and insights regarding attacker innovation to inform priorities and preparedness. In other words, this role sits at the boundary between external intelligence and internal execution, ensuring bi-directional flow between strategic cyber analysis and the teams responsible for implementation. Your work will synthesize signals from external sources alongside insights from Integrity, Security, and Safety Systems teams to produce crisp strategic assessments, priority questions, and actionable recommendations.

In this role, you will

• Monitor and interpret the evolving cyber threat landscape

• Track emerging cyber TTPs, attacker innovation, threat-group behavior, and ecosystem-level shifts relevant to AI systems.

• Analyze how state actors, criminal networks, hacktivists, and hybrid actors are adapting AI tools—or targeting AI infrastructure.

• Identify structural risk patterns that may affect AI providers, customers, and downstream sectors.

• Conduct structured external research and adversarial analysis

• Use competitive intelligence, red-team style thinking, and scenario methods to explore how frontier AI capabilities could be exploited or targeted.

• Develop forward-looking assessments of how cyber threats may evolve over 6–24 months.

• Surface “unknown unknowns” and stress-test prevailing assumptions about attacker incentives, constraints, and capabilities.

• Translate external signals into strategic risk context for cross-functional teammates

• Produce concise, executive-ready intelligence estimates that articulate threat relevance, potential impact pathways, and confidence levels.

• Develop priority questions and structured risk frames that inform product, safety, security, and

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