Your role
Are you a quantitative, numbers-driven problem solver with a passion for energy and finance?
Cloover is one of Europe's fastest-growing climate fintechs, backed by leading investors and managing billions in credit facilities across Europe. All the models, systems, and workflows that govern how that capital is deployed, monitored, and reported are built in-house. We're looking for a Quantitative Portfolio Manager to own that infrastructure end-to-end, working directly with the CFO and senior leadership on the quantitative modelling, portfolio analytics, and AI-enabled automation that power our entire finance function.
This is a hands-on, high-ownership role at the intersection of credit, corporate finance, and technology. If you think in models, move fast, and want your work to have direct bearing on a $1.22B financing operation — this is it.
You'll report to our Co-Founder & CFO and work closely with senior management from day one.
Your mission
Quantitative Modelling & Portfolio Analytics- Build and own financial models spanning credit portfolio performance, corporate valuation, capital deployment, debt structuring, and refinancing scenarios.
- Monitor Cloover's credit portfolio in real time across multiple European markets and financing vehicles: vintage performance, concentration risk, covenant compliance, pool-level KPIs.
- Build and refine predictive models covering default probability, loss severity, prepayment behaviour, and scenario outcomes.
- Run stress tests and sensitivity analyses that inform investment, structuring, and board-level decisions.
- Produce financial reporting, forecasts, and analytical inputs that drive management decisions and support capital markets transactions.
AI-Enabled Workflows, Agents & Automation
- Design and implement agentic AI systems that execute multi-step financial workflows: data extraction, validation, analysis, and recommendations with human-in-the-loop checkpoints.
- Build autonomous monitoring agents that scan portfolio performance, flag covenant breaches, detect payment anomalies, and trigger early warning escalations.
- Develop LLM-powered copilot tools that let the finance team query portfolio data, deal documentation, and financial models using natural language.
- Architect RAG pipelines connecting structured data (portfolio metrics, models) with unstructured sources (loan agreements, servicer reports, regulatory filings) for instant, context-aware retrieval.
- Automate end-to-end financial processes: investor reporting, underwriting checks, data reconciliation, covenant compliance monitoring, and KPI dashboards.
- Evaluate and integrate emerging AI tooling to keep Cloover's financial AI stack at the frontier.
Investor & Lender Reporting- Manage relationships with lenders, investors, and financing partners across Europe.
- Build and deliver investor reports, lender presentations, and due diligence responses.
- Build a reporting infrastructure that scales with the portfolio, not linearly with headcount.
Your profile
We care more about how you think and what you've built than where you've been. Here's what will set you up for success in this role:
- 2–5 years of experience in credit markets, structured finance, corporate finance, or a quantitative role at a bank, asset manager, fintech, or similar.
- Degree in Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative field from a top-tier university.
- Strong Python or R skills; solid SQL is expected — you'll be working with large datasets and complex financial models daily.
- Fluent with risk frameworks, financial modelling, and portfolio analytics — can build from scratch, not just maintain what exists.
- Takes full ownership of a problem and follows through without needing to be chased — identifies what needs solving and moves.
- Communicates complex quantitative outputs clearly to non-technical stakeholders, including CFO and board level.
- Based in Berlin and energised by being in the room. We're intentionally office-first — decisions get made in real time, models get stress-tested over lunch, and the founding team is ten metres away. If that's how you thrive, you'll feel at home here.
- Fluent in English.
Nice to have (but not required)
- Experience with machine learning, LLMs, or AI tooling — LangChain, vector databases, or equivalent.
- Familiarity with BI tools such as Metabase, Power BI, or Tableau, and advanced Excel.
Don't meet every requirement? Apply anyway. We hire for potential and perspective — credentials are a starting point, not a ceiling.
How we hire
We keep things transparent and respect your time. Most go from first call to offer in under three weeks.
- Intro call (30 min) — We want to understand what you're looking for, not just screen your CV.
- Hiring manager interview (30 min) — We go deep: your experience, your thinking, how you approach problems.
- Case study (1 hour) — You get the brief in advance. We care about your approach — not whether you land on the right answer.
- Offer & signed contract.
Need any adjustments at any stage? Just let us know.
Why us?
- Performance pay. Strong base, bonus tied to outcomes, and meaningful equity — recognised when it happens, not locked behind annual cycles.
- AI-native & unthrottled. Unlimited enterprise-grade AI — no caps, no approval process. Every role, every team. The grunt work disappears so you can focus on what actually requires human judgement.
- Real ownership on a real mission. From day one you're shaping decisions that impact thousands of installers. We're not just building software — we're powering the energy transition across Europe.
- Grow faster than anywhere else. You'll work directly alongside the founding team and world-class investors. If you're building toward your own venture one day, there's no better room to be in.
- The basics, done well. Prenzlauer Berg office with the latest Apple hardware. Free breakfast and dinner, stocked kitchen, 25 days vacation, Urban Sports Club (M), and company discounts.