Strategic Finance Associate
Lyceum
Strategic Finance Associate
Lyceum
European sovereign GPU cloud for AI workloads
This is a generalist finance role working directly with the Head of Finance across everything that touches money: FP&A, investor reporting, financial modelling, and ad-hoc strategic analysis. You won’t sit in a silo. You’ll be in the room for prepping board meetings, investor calls, and strategic decisions from day one. Ideal for someone coming out of investment banking, PE, or VC who wants to build something instead of advising on it.
What You’ll Do
Own recurring FP&A: monthly reporting, budget tracking, variance analysis, and cash flow forecasting
Build and maintain financial models for unit economics, scenario planning, and strategic decisions (build vs. lease, pricing, capacity expansion)
Prepare investor updates, board decks, and KPI dashboards
Handle ad-hoc finance and strategy projects: grant applications, partnership economics, contract analysis
What We’re Looking For
1-3 years in investment banking, private equity, venture capital, corporate finance, or a high-growth startup finance team
Excellent financial modelling skills (Excel/Sheets) and day-to-day usage of AI tools
Strong attention to detail and ability to synthesise complex information into clear narratives
Comfortable operating in ambiguity. You’ll often define the problem before solving it
Fluent in English; German is a strong plus
Genuine interest in infrastructure, cloud, or AI markets
Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities
Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world
Ownership: Shape how European AI companies access GPU compute
European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech
Lyceum builds a sovereign GPU cloud platform that makes high-performance computing for AI workload easy and local to Europe. It operates a software layer that abstracts infrastructure so users can deploy AI models with a single click from their IDE. The platform automates hardware selection, offers upfront transparent pricing, and schedules elastic workloads to prevent overprovisioning and reduce DevOps costs. Lyceum runs its own European data-center hardware, including a liquid-cooled facility in Paris, ensuring data sovereignty and residency for customers, with NVIDIA Blackwell B200 GPUs deployed early. This positions Lyceum as a European alternative to US-based hyperscalers. Its goal is to broaden access to powerful AI compute in Europe by expanding its engineering and commercial teams, securing hardware partnerships, and building more data centers to maintain control over performance, cost, and data governance.
Explore more opportunities at Lyceum