Quantitative Finance Engineer – Corporate Finance & M&A – Fintech

We’re setting new standards in corporate finance. With a focused team of 30 — one in four of us a former founder — we combine deep expertise in finance, data science and AI to build THE platform for deal & advisory teams, strategy departments, auditors and banks. We’re one of the fastest-growing startups in the DACH-region and now scaling internationally. Our ambition is clear: to set the global standard.

Our Culture

• Ownership. You own your topics end to end, from idea to shipped.
• Strong opinions, loosely held. We argue hard about the right solution, then commit together.
• Simple beats clever. The simplest thing that solves the problem wins. We’d rather ship clear code than impressive code.
• Leave it better than you found it. Speed is a priority, but we don’t trade it for technical debt that kills future velocity. We build simple, modular systems that are easy for the next person (or future you) to understand.
• Mistakes are a gift. We make mistakes and learn from them. The one thing we avoid is making the same one twice.
• Serious about the work, not about ourselves. We take our goals seriously, ourselves less so.

The role: Quantitative Finance Engineer – Corporate Finance & M&A

Small team, high bar. You’ll sit between our engineering team, our finance team and our clients. You’ll turn client problems into solutions on our platform — and make sure the numbers behind them hold up. Your responsibilities will include:

• Talk to our clients , understand their problems and work on the solution — whether that’s a new data source, a new analysis, or a better way to use what’s already on the platform.
• Own a part of the platform end to end — from the first client conversation to the shipped feature.
• Translate corporate finance methods into automated analyses : valuation logic, KPIs, peer benchmarking, financial statement analysis.
• Take ownership of output quality — the numbers we ship have to hold up in front of an expert.

Qualifications

Must-haves

• We expect the motivation and ownership of a founder. You own problems end-to-end and care more about the user outcome than your ticket description.
• Structured problem-solver . You enjoy talking to clients, understanding their problems and building solutions for them. You can explain financial logic to engineers and technical concepts to finance professionals.
• 2+ years of professional experience combining corporate finance and code — in a fintech, a data team, or a quant/analytics role or similar.
• Corporate finance foundation — you read a P&L, balance sheet and cash flow statement without help, and you know the standard valuation approaches.
• Proficiency in Python . You write code others can read and you’re comfortable with messy real-world data.
• You use AI/LLM tools to move faster, but you have the technical depth to audit their output and maintain high code quality. No "AI slop".
• Fluent German and English (C1 or higher).

Nice-to-haves

• Professional experience in investment banking, private equity, audit, consulting, corporate finance or similar.
• Own projects. Something you built outside of coursework or a job.
• Experience building LLM-powered features in production.
• You've taken data end to end — pulled it from somewhere (an API, a scraper, a database, a pile of files), cleaned it up, and built something on top.
• Proven interest in quantitative work — econometrics, statistics, stochastic processes — and experience working with large sets of data.
• API and service design , clean enough that someone else can build on it.

Not sure you tick every box?

We care more about ambition and how fast you learn than about a complete checklist.

What we offer

• Responsibility from day one : flat hierarchies, fast decisions, and the room to actually shape the product. You won’t be boxed into one corner of the stack.
• Competitive total compensation : base salary + bonus + VSOP.
• Learning curve: one of the steepest you’ll find in Germany. Not an empty claim — ask the team.
• People: Build with experts from Big Tech, Silicon Valley, Investment Banking, and Hedge Funds.
• Setup: Munich, hybrid. Modern office, EGYM Wellpass, team events, tax-free benefits.
• Relocation: company apartment in Munich available on request.

Hiring process

We’re an equal-opportunity employer. This role is open to all genders (m/f/x). We value diverse backgrounds and perspectives and welcome applications from all qualified candidates.