We’re looking for a hands-on, detail-driven analyst with valuation fundamentals and a strong appetite for data. You'll help onboard VC & Private Equity funds onto ScaleX Invest by structuring high-quality investment data. Where most analysts hand the problem to a tech team, you'll prototype the fix yourself with AI coding tools.
A great stepping stone towards a future Private Equity role.
Presentation of ScaleX Invest
ScaleX Invest is a SaaS platform for Venture Capital, Growth Equity and Private Equity investors to centralise portfolio data and make better decisions on valuation, risk and performance.
Building on Early Metrics’ decade of data and modelling expertise (since 2014), we combine a unique private-company dataset with validated methodologies to turn complex portfolio information into actionable insights for investment teams.
Our platform offers three core solutions:
- Portfolio Monitoring: Real-time insights with risk and liquidity scoring for precise portfolio oversight and proactive risk management.
- Multi-Asset Valuation: Accurate, flexible valuations powered by exclusive private deal data and bespoke modelling for equity, debt, convertible instruments, and more.
- Venture Loan Scoring: Advanced scoring models, backed by a decade of testing, assess risk and ESG factors to guide smarter, compliant lending decisions.
Key figures
10+ years of modelling expertise in Private Equity
€100 Bn in assets monitored by our clients
20,000+ private deals analysed
Job description
Reporting directly to Edouard (COO & CPO), you will contribute to client onboarding, data operations and product delivery for VC, Growth Equity & PE funds.
Client Data Onboarding:
- Translate client data into import specs, and prototype the checks that validate them
- Validate post-import datasets (reporting, cap tables) with financial sanity checks
- Flag data gaps early and propose pragmatic fixes to keep onboarding on track
Product Ownership & AI Prototyping:
- Own client-specific features end to end: spec, prioritise, test, ship, drive adoption
- Prototype internal tools, client-facing mockups and data checks with AI coding tools
- Turn recurring manual work into small apps and automations you own
Private Markets Valuations:
- Review and normalise reporting KPIs (revenue, EBITDA, key operating metrics)
- Select relevant private peers and maintain private comparable databases
- Contribute to improving and training our peer-matching algorithms
Valuation Method Improvement:
- Run backtesting and correlation analyses to assess model robustness
- Contribute to IPEV-aligned controls: consistency checks, documentation, traceability
Your profile
- You have a first exposure to Venture Capital, Growth Equity or Private Equity, and you’re curious about how funds operate.
- You have solid foundations in private markets valuation, and you’re comfortable working with financial statements, turning raw data into valuation-ready inputs.
- You've built something with AI coding tools: a small app, a scraper, an automation…
- You can write a clear spec: what the user needs, why, and how you'll know it worked
- You are comfortable with advanced Excel; Python or SQL is a plus.
- You are fluent in French and English, as you will work in an international environment.
Key information
- Starting date: January 2027 — 6 months
- Salary: €1.3K/month
- Location: 40 rue de Monceau, 75008 Paris
Recruitment process
- Send your resume and cover letter to < correo electrónico eliminado por razones de seguridad >
- Intro call with our COO
- Business case in two parts: a valuation exercise and a short prototype