Quant Finance Engineer | AI Native | Fintech | Series A

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 Finance 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 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) 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