Expert - Generative AI in Risk

Details

ING Hubs Poland is hiring for a role focused on applying artificial intelligence, generative AI, and advanced analytics across the Credit Risk model lifecycle in a highly regulated banking environment.

Responsibilities

• Identify and shape high-impact AI use cases across the Credit Risk model lifecycle, from data management and model development to validation, monitoring, and regulatory compliance.
• Design and build proof-of-concept solutions with Risk, Analytics, and Technology teams, demonstrating how AI can deliver tangible business value.
• Explore, evaluate, and leverage AI technologies, including Large Language Models and Copilot solutions, to enhance risk and model-related processes.
• Apply expertise in Python, SAS, and SQL to develop, test, and assess innovative solutions and new ways of working.
• Turn successful experiments into scalable, sustainable solutions adopted across COO Risk.
• Act as a trusted AI advisor for Credit Risk stakeholders, helping identify opportunities, assess feasibility, and maximize value creation.
• Drive the adoption of AI by translating emerging technologies into practical, business-ready solutions.
• Collaborate with international teams across Risk, Analytics, Technology, Data, and Compliance to deliver impactful outcomes.
• Ensure AI-enabled solutions meet requirements for governance, traceability, auditability, and regulatory compliance.
• Influence the future of Risk by driving innovation, challenging the status quo, and promoting AI-powered ways of working.

Requirements

• Passion for the potential of AI and the ability to identify opportunities where AI, advanced analytics, or generative AI solutions can create meaningful business impact.
• Strong hands-on experience with Python, SAS, and SQL.
• Experience working with modern AI ecosystems, including Copilot, Large Language Models, and automation platforms.
• Understanding of the constraints involved in building compliant AI solutions in a highly regulated banking sector.
• Ability to work independently, take ownership, and drive change across complex organizations.
• Strong relationship-building and stakeholder-influencing skills across business and technical areas.

Additional Qualifications

• Extensive experience in Credit Risk, risk modelling, or risk process transformation within a regulated environment.
• Understanding of the end-to-end credit risk model lifecycle and its associated challenges.
• Experience delivering AI, generative AI, or advanced analytics solutions into production environments.
• Experience with model governance, validation, regulatory reviews, or audit processes.
• Ability to turn innovative ideas and proofs of concept into scalable business solutions.

Team

You will join COO Risk, an organization serving all business lines and senior Risk stakeholders across the bank. COO Risk takes explicit ownership of operational stability and structural transformation initiatives, playing a critical role in enabling safe and compliant Risk processes.

The role offers extensive interaction with Credit Risk, Model Development, Model Risk, Compliance/NFR, Analytics, and IT teams in an international environment. Hierarchically, you will report to the Product Lead in the Risk Data Tribe while collaborating across the entire COO Risk domain.

The role naming convention in the global ING job architecture will be "Data Scientist IV".