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

StrategyBridgeAI; München; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Company apartment in Munich

Tax-free benefits

Job summary

StrategyBridgeAI GmbH is seeking a Quantitative Finance Engineer to join our Munich-based team. You’ll work between engineering, finance, and clients to turn problems into automated analyses and robust platform features.

The role requires strong corporate finance knowledge, Python proficiency, and fluency in German and English. We offer a hybrid Munich setup with relocation options and competitive total compensation.

Qualifications

• 2+ years of professional experience combining corporate finance and code.
• Corporate finance foundation — you read a P&L, balance sheet and cash flow statement and know standard valuation approaches.
• Proficiency in Python; you write readable code with messy real-world data.
• Fluent German and English (C1 or higher).
• Experience using AI/LLM tools to move faster while auditing outputs and maintaining code quality.

Responsibilities

• Talk to clients, understand their problems and work on the solution — whether a new data source, analysis, or improved platform usage.
• Own a part of the platform end to end — from first client conversation to shipped feature.
• Translate corporate finance methods into automated analyses: valuation logic, KPIs, peer benchmarking, financial statement analysis.
• Take ownership of output quality — ensure numbers hold up in front of an expert.

Skills

Problem-solving

Client communication

Structured thinking

Coding with Python

Tools

Python

API design

Job description

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.