Postdoc Position Applied Large Language Models for Advanced Banking Operations

We are looking for a results-oriented postdoctoral researcher to accelerate our strategic partnership with ING and drive innovation at the intersection of banking and Large Language Models (LLMs). The role focuses on designing, validating, and operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems.

The position potentially targets at one of the following three high-impact research streams:

Quality assurance and confidence scoring for LLM outputs
Generative AI models such as LLMs can produce responses with inconsistent accuracy, creating a growing need for systematic validation and performance assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics to design and test methodologies that quantify confidence levels in LLM responses, supporting transparent and reliable decision-making across the bank.

Domain-specific language models for compliance-driven processes
ING aims to tailor language models to its KYC and mortgage domains, where precise understanding of internal documents, policies, and regulatory frameworks is essential. A key component of this research is developing structured, LLM-readable document representations that enhance accuracy, facilitate automation, and improve interoperability across different model types used within the organization.

Context-engineering automation for agentic AI
As ING scales up its agentic AI capabilities, the manual design of context, i.e., how AI agents collect, structure, and prioritize information, remains a major bottleneck. You will explore methods to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within operational banking environments.

This postdoctoral role offers a unique opportunity to shape the next wave of AI-driven financial technologies in close collaboration with a leading global bank.

The ING Analytics department
This research will be performaned in collaboration with ING Bank. More specifically, with the ING Analytics (INGA) team. This team consists of data scientists, data engineers, software developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore have a strong desire to keep up with and be part of the latest developments in the fields of AI, tooling and statistics. Which they do by working closely together with interns on a variety of topics to solve academic yet practical problems. The INGA team has extensive experience with researchers. You will collaborate with subject matter experts and (senior) data scientists to perform the proposed applied research.