Role Description
This is a hands-on, detail-driven role for someone who thinks like an investor. You will use Clarenza the way an associate at a buyout or growth fund would:
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Running data rooms through the platform, checking every figure against its source, and pinpointing where our KPIs and investment memos can better reflect the underlying documents.
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Your work will directly improve the product experience.
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This role reports to the CEO.
What Youβll Own
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Deal Processing:
Running test and live data rooms (CIMs, management accounts, audited statements, cap tables, board packs) through Clarenza and reviewing the KPIs and memos it produces.
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Figure Verification:
Matching every number to its source across revenue, EBITDA, margins, ARR, growth, net debt, cash burn, headcount and market size.
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Error Detection:
Hunting for the classic errors:
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Scale and unit mistakes
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Wrong or mixed currencies
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Period mismatches (FY vs LTM vs quarter, calendar vs fiscal year)
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Adjusted and reported figures presented as the same thing
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Sign errors
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Double counting
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Totals that don't add up
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Implausible values
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CIM claims that contradict the audited accounts
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Red-Flag Test Rooms:
Building realistic data rooms with planted inconsistencies and scoring whether Clarenza catches them.
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Answer Key:
Maintaining the correct value, source and page for every KPI, so each new release can be checked against it.
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Issue Logging:
Documenting findings precisely in our issue tracker (document, page, expected value, reported value, severity and steps to reproduce).
Qualifications
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Enrolled in a bachelor's or master's programme in finance, accounting, economics or business, or an equivalent qualification (for example, a CFA candidate while at university), with enrolment status and study regulations that allow this internship.
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A solid grasp of the three financial statements and how they link, including EBITDA adjustments, working capital and net debt.
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Strong Excel skills.
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A clear interest in private equity, venture capital, growth equity, buyouts or family office investing.
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Meticulous and comfortable saying a number is wrong, then proving it.
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Clear written communication and the discipline to work remotely without close supervision.
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Fluent English (C1 or above), written and spoken.
Nice to Have
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A previous internship in PE, VC, M&A, transaction services, audit or corporate finance.
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Valuation, LBO or three-statement modelling experience.
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SaaS metrics knowledge (ARR, NRR, CAC payback).
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German (many DACH deal documents are in German).
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Membership of a student finance club.
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Hands-on use of AI tools, with basic Python or SQL as a plus.
Location & Working Style
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Location:
Remote-first, with working hours overlapping CET. The team is based in Hamburg (HQ), Vienna and Lisbon.
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Engagement:
Unpaid internship, either a mandatory curricular internship or a voluntary internship alongside your studies. 3 months (longer only if required by your study regulations), 15 to 20 hours per week, flexible start.
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Development:
Weekly 1:1 with the CEO, a written learning plan agreed in week one, midpoint and final reviews, a detailed internship certificate (Praktikumszeugnis), a personal reference and university paperwork on successful completion. Where there is a strong fit, a conversation about future roles with us.
How to Apply
Send your CV (one page preferred), a short note (max 200 words) on why private markets interest you, confirmation of your enrolment and whether this would be a mandatory internship, and your preferred start date, duration, and weekly hours to
[email protected]
with the subject "Financial Analyst Internship". The process is a 20-minute intro call, a 60-minute take-home exercise (a two-page financial summary with deliberate errors to find), and a 30-minute walkthrough of your findings and audit trail.