AI-Native Business Analyst - DACH

About the company

the company, a European Fintech company, is a leader in cloud-based digital mortgage software. We provide personalized journeys for borrowers and lenders. the company's technology streamlines the mortgage application process, eliminates paperwork, and increases transparency.

The fastest growing part of our business is Herman, our AI agent for mortgage origination. Herman reads documents, checks them, and works a credit file the way an analyst would, inside the regulated workflow of a real bank. It runs on sovereign EU infrastructure, because our clients cannot send mortgage data anywhere else. Phase by phase, it automates more of the origination process: first employed borrowers, then the self-employed, and onward.

This is not a chatbot bolted onto old software. It is agentic software doing real work in a regulated environment.

A passionate and engaging team of around 30 stellar Fintech operators works vigorously to transform European mortgages by enhancing efficiency and alleviating borrower anxiety. Backed by Bessemer Venture Partners and Motive Ventures, we have raised EUR 14 million, placing the company at the forefront of revolutionizing mortgages in Europe. the company currently has offices in Zürich, Switzerland, and Antwerp, Belgium.

We are looking for a Business Analyst (DACH) to join our Customer Success team.

You will start with one of our flagship Austrian customers, owning the delivery work that turns their business needs into a configured, live the company platform. As we continue to grow in DACH, you will expand into a broader portfolio of German-speaking lenders, becoming the trusted delivery partner who guides them from kickoff to value.

This is a role for someone who genuinely enjoys structuring messy problems, sitting in a workshop with bankers and product owners, and translating what they hear into something concrete the engineering team can build and the customer can run. It is also a role for someone who is AI-native, who uses modern AI tooling as a core part of how they think, write, and ship.

Capture and structure customer requirements

You will be the bridge between what the customer wants and what the company delivers.

• Run discovery workshops with business and IT stakeholders at our DACH customers
• Capture functional and business requirements in clear, well-structured documentation
• Map requirements to the company's product: identify what works out-of-the-box, what needs configuration, and what genuinely needs engineering
• Translate business needs into user stories and functional specifications the squad can act on
• Manage stakeholder expectations throughout the project lifecycle

Our customers run on complex banking stacks. You will figure out how the company plugs in cleanly.

• Review technical API documentation from core banking systems, CRMs, and online banking platforms
• Work with the company engineering to identify and define integration points
• Document data flows, contracts, and edge cases so nothing surprises us at go-live
• Make smart, pragmatic recommendations on what to integrate now vs. later

You will own the hands-on configuration work that makes the company work for each customer.

• Configure mortgage products, business rules, and customer journeys inside the the company platform
• Validate that configurations match the agreed scope and pass acceptance testing
• Lead training sessions for end users and customer champions
• Stay close to the customer through go-live and early adoption, then hand over cleanly to the Customer Success team

We expect you to use modern AI tooling as a real lever, not a curiosity.

• Use AI tools to scaffold documentation, draft specs, summarize workshops, and accelerate analysis, automate processes,…
• Identify where AI compounds your work and where it does not, and design your workflow accordingly
• Help us push the bar on what an AI-native delivery function looks like at the company

We are looking for someone with a consulting background who is ready to go deep on a product and an industry and love technology:

• 2 to 3…