Quant Finance Engineer | AI Native | Fintech | Series A | StrategyBridgeAI · Teeming.ai
StrategyBridgeAI
StrategyBridgeAI's technology delivers automated business analyses capturing all relevant data for holistic decision-making.
(1) Instead of manually working with millions of financial data points or…
StrategyBridgeAI's technology delivers automated business analyses capturing all relevant data for holistic decision-making.
(1) Instead of manually working with millions of financial data points or…
Funding: Pre-Seed (Dec 2024) — investors include D11Z.Ventures (lead), Bayern Kapital, Tom Capital, Kai Hesselmann
Company Overview
Problem Domain
Automated business and industry analysis for use cases including M&A due diligence, competitor benchmarking, market/industry analysis, forecasting checks, valuation, and strategy/value-enhancement recommendations.
Founded
2022
Industry
B2B SaaS
Funding Track Record
Pre-Seed- Dec 2024
Other reported participants: Bayern Kapital, Tom Capital, Kai Hesselmann
Investor Signal
“Pre-seed round led by D11Z.Ventures with participation from Bayern Kapital, Tom Capital, and Kai Hesselmann”
Founders
What we do
Join the Team
Quant Finance Engineer | AI Native | Fintech | Series A
HybridMunich, Bavaria, DE
Hybrid • Munich, Bavaria, DE
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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
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
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
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with strong backend engineering skills (API design, data modeling, service architecture)
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– 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
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in production (prompt engineering, RAG pipelines, tool integrations, or agentic workflows
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such as Elasticsearch or PostgreSQL
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Degree in
Computer Science, Finance, Mathematics, Physics
or equivalent practical experience
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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.