Quant 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…
Due diligence, corporate strategy, M&A advisory, private equity analysis and audit work requiring scalable, objective business and industry analysis.
Founded
2022
Industry
B2B fintech / AI
Funding Track Record
Pre-seed- Dec 2024
Seven-figure (oversubscribed)
Participation from Bayern Kapital and angel investor Kai Hesselmann
Investor Signal
“Led by D11Z.Ventures with participation from Bayern Kapital and angel investor Kai Hesselmann”
Founders
What we do
Join the Team
Quant 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 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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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
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.
