Forward Deployed Engineer

Job Location: 100% remote 

Budget: 60-80 eur/h, B2B

Recruitment process:

Benefits package:

Role description:

The future of banking is agentic, and we are leading the charge. We construct the infrastructure that connects complex regulatory frameworks directly to live core banking, risk engines, and treasury systems.
Our core architecture operates across three highly integrated layers of knowledge: Regulatory (structured, searchable directives traced to the exact article), Institutional (mapping core banking data into a unified ontology with absolute data lineage), and Strategic (grounding capital impact and funding optimization decisions in hard reality).

As a Forward Deployed Engineer, you are the "architect in the field." You will be responsible for the "last mile" of intelligence—ensuring that 4 million+ nodes of regulation aren't just a database, but a living knowledge graph that an AI agent can use to simulate funding plans

The founding team is currently the bottleneck on product development.The company already has engineering support for general build work and a data/architecture profile focused on financial data. The gap is different: they need someone who understands banking regulation deeply enough to help structure regulatory knowledge into the product without requiring the founders to define every step

Profile : 

• Build out the knowledge graph over banking regulation at a granular level — designing structured representations the AI can traverse to extract real knowledge, not just semantic embeddings
• Translate banking and customer needs into the product, drawing on a
  direct understanding of treasury, risk and regulation
• Structure and package information using data structures — deciding how knowledge fits together, not just where it sits
• Use the knowledge graph to build the context the AI platform reasons over
• Work alongside the existing postdoc engineer (general engineering) and data architect (financial data) to ship the model into the product
• Operate autonomously, without needing the founders to lay out every step

Ideal background

• The strongest profiles are likely to come from one of these backgrounds:
• A hands-on financial services consultant from a firm like Oliver Wyman, or similar, who has worked deeply on banking regulation projects across treasury, capital, risk, liquidity, or regulatory reporting.
• A former banking professional from a treasury, risk, regulatory reporting, prudential regulation, or financial data function who has moved closer to fintech, regtech, product, data, or technology.
• A regtech or financial data product specialist who has helped structure complex banking or regulatory knowledge into systems, products, workflows, or data models.
• The regulatory scope is not limited to Sweden. Basel-based frameworks are globally relevant, with EU, UK, and US regulatory regimes sharing similar fundamentals, despite local differences.

What matters most

1. Regulatory literacy. You can read an EBA Q&A or a national law and decide how it should be modelled in the graph, without a founder's input.
2. Deep banking domain understanding, with a holistic view of how a bank actually works rather than a sliced-up specialist view
3. Practical experience with banking regulation, treasury, risk or regulatory reporting
4. A technical mindset around data structures, knowledge graphs and information modelling 
5. A builder mentality —comfortable shipping, not only advising
6. Ability to operate independently and reduce founder dependency
7. Willingness to work hands-on in an early-stage environment

What matters less

1. Specific programming language expertise
2. General engineering experience without banking domain knowledge
3. Pure AI or machine learning experience without regulatory grounding