Intern Corporate Finance

Cloover; Berlin; On-site; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Apple hardware—latest setup

Free breakfast and dinner

Stocked kitchen

25 days vacation

Deutschlandticket fully covered

Urban Sports Club (M)

Company discounts

Job summary

Cloover in Berlin is seeking graduates to build and extend driver-based Excel models for three business lines—lending, payments, and energy. You will forecast, project portfolios, and perform variance analyses so numbers reach management and investors with clarity.

You will develop portfolio views using vintages and cohorts and model unit economics to understand lifecycle profitability and capital use. The role includes contributing to investor packs and automating analyses with Claude Code.

Qualifications

• Degree completed in business, economics, finance or adjacent field.
• Ability to construct a model from scratch with clear separation of assumptions and logic.
• Willingness to use Claude Code daily; eager to learn new tools.

Responsibilities

• Build and extend driver-based Excel models for three business lines (lending, payments, energy).
• Produce forecast parts for management and investors and run variance analyses.
• Create portfolio views showing receivables performance with vintages, cohorts, amortisation, and loss curves (Qlik).
• Model unit economics across all three products to show lifecycle profitability and capital use.
• Support monthly investor and board packs with precise numbers.
• Develop business cases behind pricing changes, new products or markets with quantitative backing.
• Automate recurring analysis and reporting with Claude Code to reduce manual workload.

Skills

Financial modeling

Excel modelling

Claude Code

Attention to detail

English fluency

Education

Bachelor's degree in business, economics or finance

Tools

Claude Code

SQL

Qlik

Job description

Cloover runs three business models at once: a lending book, a payments product, and an energy retailer, each with a completely different capital profile. Most graduates spend years before they see one of these from the inside, and you will model all three within your first months. Success looks like your logic sitting inside the numbers that go to management and to our investors.

Your mission

• Build and extend the driver-based Excel models we run the business on, covering commercial forecasts, portfolio projections, and product-level economics, structured so that someone opening them a month later can still follow the logic
• Produce parts of the forecast the management team plans against, then run the variance analysis that shows where it was wrong and why
• Build the portfolio views that show how our receivables book is actually performing versus plan, working with vintages, cohorts, amortisation, and loss curves in Qlik
• Model unit economics across all three products, so we know what a contract earns over its life, how much capital it ties up, and which product returns that capital fastest
• Contribute to the monthly investor and board packs, and to the answers we give when external parties scrutinise our numbers, where being exactly right matters more than being fast
• Build the business cases behind a pricing change, a new product, or a new market, and put a number on them that someone will make a decision from
• Automate recurring analysis and reporting with Claude Code, so work that took four hours the first month takes twenty minutes by the third

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:

• You have completed your degree in business, economics, finance, or something adjacent. This is a role for graduates, not a placement alongside your studies
• You can build a model rather than only read one: you structure a calculation from scratch, separate assumptions from logic, and keep it legible to someone else
• You reach for a tool instead of grinding through something manually. We work with Claude Code daily, no prior experience needed, but you should want to get good at it
• You would rather check twice than be corrected, because in finance a number that is nearly right is wrong
• You ask why a number moved rather than only noting that it did, and you can explain the answer to someone who did not build the model
• You can be trusted with figures that are not public, from day one
• English is our working language and you are fluent in it. German is useful for our accounting and audit work but is not required
• You can commit to a minimum of 6 months internship, with the potential for a full-time transition.
• Based in Berlin and energized by being in the room. We're intentionally office-first: decisions get made in real time, prototypes get stress-tested over lunch, and the founding team is ten meters away. If that's how you thrive, you'll feel at home here

Nice to have (but not required)

• SQL, Qlik, or another BI tool, enough to pull and shape data yourself rather than waiting on someone else
• Exposure to lending, payments, subscriptions, or energy markets, whether through a prior internship in banking, private equity, venture capital, consulting, or fintech, or through your own curiosity

Don't meet every requirement?

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 into your experience, your thinking, and 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?

• Competitive pay. Fair compensation for your time and contribution, benchmarked to the Berlin internship market.
• AI-first & 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, regular team events, 25 days vacation, a fully covered Deutschlandticket, Urban Sports Club (M), and company discounts.

Sound like your kind of challenge?

About Us

At Cloover, we're building the AI operating system for the energy transition — a platform that helps thousands of installation companies across Germany and Austria sell more, plan faster, and deliver better. We've secured $1.22B in total financing — including $1.2B in committed debt financing and a $22M Series A — and are just getting started on our European expansion.

We're a high-performance team that works with purpose. We own our work fully, debate ideas hard, commit together, and execute without hesitation. Seniority doesn't win arguments here — the best idea does. Speed isn't a deadline we hit — it's how we're wired.

And we’re AI-first by default. We're not experimenting with AI — we're built on it. Tech ships faster because AI prototypes before we build. Sales closes more because outreach is personalized at scale. Finance stress-tests in real time. People & Culture builds processes in a fraction of the time. Whatever your function, AI is how we punch above our weight — and it's a skill you'll develop here faster than almost anywhere else.

We believe the energy transition belongs to everyone — and so does our team. We're international, driven, and deliberately inclusive. We hire for potential and perspective, and we welcome people of all backgrounds, identities, and experiences.