Cloud & AI Financial Operations Analyst

Warsaw, Poland (hybrid)

About the Role Cantor Fitzgerald’s IT Infrastructure function manages a technology estate spanning cloud platforms, AI tooling, and on-premise infrastructure across a global financial services firm. As AI adoption and cloud consumption accelerate, the associated cost base is growing quickly and needs dedicated financial intelligence to track, analyse, and optimise it. The Cloud & AI FinOps Analyst is a newly created role in the FinOps & Business Management function, reporting to the Technology Business Manager, and owns the day-to-day tracking, analysis, and reporting of cloud and AI platform costs across the organisation. Systematic visibility and optimisation of this spend does not yet exist — the analyst will create it, with direct exposure to senior IT leadership and as part of an international team working across US, UK, India, and Poland time zones.

What We Offer A build role, not a maintenance role: the chance to shape FinOps practice from the ground up A foundational position in an actively expanding function, with direct senior leadership visibility Direct reporting line to the Technology Business Manager, with regular engagement with the Global Head of Infrastructure A collaborative, international team spanning the US, UK, India, and Poland

Company Overview Cantor Fitzgerald, founded in 1945, is a premier global financial services and technology firm with a presence in over 30 countries and more than 14,000 employees worldwide. Renowned for innovation, scale, and deep expertise across capital markets, Cantor Fitzgerald delivers cutting‑edge solutions to institutional clients including banks, hedge funds, trading firms, and corporations. As one of the few remaining private partnerships on Wall Street, Cantor Fitzgerald combines entrepreneurial agility with long‑term vision—offering leadership in Equity and Debt Capital Markets, Sales & Trading, SPAC underwriting, Structured Products, Prime Brokerage, Asset Management, and Commercial Real Estate Services. If you’re looking to join a firm that values resilience, innovation, and client focus, Cantor Fitzgerald offers an exceptional platform to make an impact in shaping the future of global financial markets. Job Location: Warsaw, Poland Hybrid model (onsite 3 days per week) Agency Notice: Cantor Fitzgerald & affiliates do not accept agency resumes. Please do not forward resumes to our job alias, employees or any other company location. Cantor Fitzgerald & affiliates are not responsible for any fees related to unsolicited resumes. Please contact the Recruitment function for additional details.

Daily tasks

• Cloud & AI cost tracking
• Own day-to-day monitoring of cloud spend across AWS, GCP, and Azure, tracking cost by service, environment, team, and application
• Extend tracking to AI platform costs as adoption grows — token-based API consumption, per-seat licences such as Microsoft Copilot, ChatGPT Enterprise, and Claude, and hosted model services such as Vertex AI, Bedrock, and Azure OpenAI — so every material AI cost line is captured and attributed
• Maintain and develop the FinOps platform, moving it from manual data uploads to live API-connected feeds from cloud and AI providers
• Keep cost data accurate, current, and structured to support analysis and reporting
• Analysis & optimisation
• Identify cost anomalies, usage spikes, and waste across cloud and AI platforms, surfacing findings proactively rather than reactively
• Analyse reserved versus on-demand usage and recommend commitment strategy to optimise cost
• Identify right-sizing opportunities where consumption does not match allocation across workloads, services, and licences
• Produce regular variance analysis of actual spend against budget and forecast, with clear narrative on the drivers
• Reporting & distribution
• Build and maintain dashboards that make cloud and AI cost data accessible to IT leadership and business stakeholders
• Develop budget alerting that triggers notifications when spend moves materially outside agreed thresholds
• Produce monthly and quarterly cost reports for the Technology Business Manager and the Global Head of Infrastructure
• Support a business-facing view of AI and cloud consumption by business unit and application

Requirements

Skills / Experience Required Hands-on experience with native cloud cost tooling — AWS Cost Explorer, Azure Cost Management, or GCP Billing and BigQuery billing exports — able to navigate, query, and extract data independently Understanding of how cloud and AI consumption translates to cost: compute, storage, and networking, plus token-based API usage and per-seat AI licensing Strong analytical skills with large datasets, and proficiency in Excel and data analysis tools to build clean, structured models and reports Clear written and verbal communication in English, able to present cost findings to non-technical stakeholders Self-starter who manages their own workload and priorities with limited day-to-day supervision across time zones Hands-on use of AI tools such as ChatGPT and Claude to create, automate, and solve problems in day-to-day work Qualifications 2+ years in a FinOps, cloud cost management, or IT finance analyst role Degree in Finance, Business, Computer Science, or a related field is beneficial; equivalent practical experience is equally valued Desirable Skills FinOps Foundation certification (FOCP) or equivalent cloud cost management qualification Familiarity with API integration and automated data pipelines, connecting cloud billing APIs to reporting tools Experience with AI vendor usage and billing consoles (OpenAI, Anthropic, Microsoft) and attributing AI spend to teams Exposure to Power Automate or similar workflow automation tools Experience in a financial services environment Personal attributes: Highly motivated self-starter, comfortable building capability where none exists yet Strong attention to detail and a commitment to accuracy in financial data Articulates both written and spoken messages clearly and confidently to non-technical audiences Proactive — surfaces findings before being asked Willing to take ownership and work without close supervision, while being a team player across regions Curious about new technologies, with a genuine interest in AI and automation Systems & tools used: Cloud cost tooling: AWS Cost Explorer, Azure Cost Management, GCP Billing and BigQuery billing exports AI platform usage and billing consoles: OpenAI, Anthropic, Microsoft Copilot MS Excel (advanced) and other MS Office applications Power BI, Tableau, or similar dashboarding and reporting tools Power Automate or similar workflow automation tools AI tools and chatbots such as Claude, ChatGPT and Microsoft Copilot

Must have: Cloud, AI, Cloud platform, Team work, AWS, GCP, Azure, API, ChatGPT, BigQuery, Storage, Networking, Analytical skills, Excel, Data analysis, Degree

Nice to have: Data pipelines, Power Automate, MS Office, BI, Tableau, Dashboarding