Quant Engineer (Fullstack, Finance, AI) at strategybridgeai

Who we are

We are setting new standards in the corporate finance industry. With a focused team of 30 people, we combine deep domain expertise in finance, data science, software, AI and UX to build a SaaS platform for M&A, Investors, Auditors and Banks.

We are among the fastest-growing start-ups in Europe and are now scaling internationally.

Our team combines backgrounds in investment banking, hedge funds, big tech and research – with a clear goal: to build the best possible product.

The role: Quant Engineer (SE + Finance + AI)

We’re looking for a top-performing and highly ambitious engineer (m/f/d) with at least 1 year (better 2) of experience to help shape the future of fintech. Your responsibilities will include:

• Design and build fullstack features (Python backend + React/Next.js frontend) that serve thousands of financial professionals
• Collaborate directly with clients and internal teams to understand complex financial concepts – M&A workflows, valuation models, financial statements – and turn them into product features
• Develop AI-powered automation pipelines that extract, structure, and analyze financial data using LLMs
• Build and maintain APIs that integrate with financial data sources, third-party platforms, and internal services

Qualifications - to be successful in this role, you will need:

Must-haves

• Extremely motivated and thrive in a hyper-growth startup with massive ambitions – where relentless speed, bold ownership, and non-stop evolution define every single day
• Deep finance knowledge – you genuinely understand M&A processes, corporate finance, financial statements (P&L, balance sheet, cash flow), and ideally valuation methodologies (DCF, multiples, LBO)
• Proficiency in Python with strong backend engineering skills (API design, data modeling, service architecture)
• Comfortable with TypeScript/React/Next.js – you can build and ship frontend features independently
• AI-native mindset – you stay on top of the fast-moving AI/LLM landscape and can assess and leverage relevant developments
• Experience building LLM-powered features in production (prompt engineering, RAG pipelines, tool integrations, or agentic workflows
• Hands-on experience with databases such as Elasticsearch or PostgreSQL
• Strong communication skills and clear, structured thinking – you can explain financial logic to engineers and technical concepts to finance professionals
• Degree in Computer Science, Finance, Mathematics, Physics or equivalent practical experience

Nice-to-haves

• Professional experience in investment banking, private equity, audit, or corporate finance

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• Experience building MCP servers & Familiarity with agentic orchestration frameworks (LangChain, LangGraph, CrewAI, or similar)
• Experience with financial data APIs (Bloomberg, Refinitiv, CapitalIQ, or similar)
• Founding experience – entrepreneurial drive, resourcefulness, and comfort with ambiguity

What we offer

• Rare chance to play a leading role in a well-funded and fast-growing fintech startup
• You will build agentic systems that automate workflows that currently take financial analysts days to complete manually.
• Trajectory: hyper-growth + hard problems = exceptionally steep learning.
• People: Build with experts from Big Tech, Silicon Valley, Investment Banking, and HedgeFunds.
• Impact: ship to thousands → millions with real impact.
• Ownership: High responsibility from day one, flat hierarchies with quick decisions
• Option of an employee apartment in Munich for 6 months
• Competitive compensation – consisting of base salary + bonus + VSOP (depending on experience)

Interested in relocating to Germany? Check out our comprehensive Relocation Jobs in Germany page with detailed relocation packages and benefits.

• Hybrid setup with modern Munich office + company apartment for relocation support, EGYM membership and much more to support your best work and life.

Language

English is our company language; German is nice to have.

Hiring process

Intro chat → Technical deep dive → Team interviews → Offer. We value your time & move fast.

Equal Opportunity

We’re an equal-opportunity employer. We value diverse backgrounds and perspectives and welcome applications from all qualified candidates.

How to apply

Apply via LinkedIn with your CV, GitHub/portfolio, and a short note about a project you’re proud of