Do you want to teach a bank’s document engine to read? Every mortgage application comes with a stack of documents: payslips, employer statements, valuation reports, bank statements, and IDs. Our extraction engine automatically turns these documents into structured data that can be used throughout the lending process. Making that engine smarter is one of Ohpen’s key objectives for 2026, as we move from classical extraction rules towards AI/LLM-based extraction. As a Data Extraction Specialist – AI, you’ll help drive that transition end-to-end. You’ll configure and optimise the engine, build the LLM-based extraction that replaces existing rules, and benchmark the results to prove extraction rate.

DocStreet is our document processing platform. It receives, classifies, and routes incoming documents. DTA2 is the data extraction engine within DocStreet. It reads each document and turns it into structured fields, such as income, employer, and property value, which our clients’ lending processes rely on. Orbis is the engine that executes automated validations on the extracted documents. You’ll join our Transformation & Innovation team, working within a small and focused data extraction squad. A small team means high ownership and plenty of opportunity to make an impact.