Expert – AI Adoption in Risk

Details

ING Hubs Poland is hiring for a role within COO Risk and the Risk Data Tribe. The team translates complex banking exposures into risk-weighted assets and provisions, ensures regulatory compliance, and drives transformation across the Risk organization.

COO Risk is structurally redesigning Credit Risk model lifecycle activities by embedding AI to reduce manual effort, increase efficiency, accelerate compliance, and improve model quality end to end. This includes automation across model change, remediation, data collection, documentation, validation, and monitoring processes.

The Senior Expert will take end-to-end ownership of AI adoption use cases in Risk, from refining concepts and delivering proofs of concept to enabling controlled adoption across COO Risk.

Responsibilities

• Own and refine AI adoption use cases across the Risk model lifecycle, including:
  • Data discovery, remediation, and reconciliation.
  • Data collection, model code redevelopment, and impact analysis.
  • Documentation and regulatory checks.
  • Model validation and monitoring activities.
• Design and build proof-of-concept solutions with ING Analytics teams, using AI and LLMs where they create measurable value.
• Leverage and tune existing LLMs and tools, including Office Copilot, GitHub Copilot, Gemini, and Claude models.
• Work hands-on with Python, SAS, and SQL to support proof-of-concept development, testing, and evaluation.
• Translate proof-of-concept outcomes into scalable adoption approaches across COO Risk, including process design, controls, and usage patterns.
• Act as a senior point of expertise for AI adoption within Credit Risk, advising stakeholders on feasibility, risks, and value.
• Ensure solutions meet expectations for traceability, auditability, and regulatory compliance.
• Drive change across teams through expertise, influence, and clear articulation of value, without formal line responsibility.

Requirements

• Senior-level experience in credit risk, risk models, or risk process transformation within a regulated environment.
• Working knowledge of AI concepts and applications, including the ability to identify where AI, advanced analytics, or LLM-based solutions can improve credit risk or risk process outcomes.
• Strong hands-on expertise in SAS, Python, and SQL applied to analytical or model-related processes.
• Deep understanding of challenges across the credit risk model lifecycle.
• Ability to operate independently, define direction within scope, and drive adoption.
• Strong stakeholder management and senior-level communication skills.

Additional advantages include:

• Proven experience delivering AI, advanced analytics, or LLM-based solutions beyond experimentation.
• Experience with model governance, validation, regulatory reviews, or audit settings.
• Experience scaling proofs of concept into business-as-usual solutions.

Team

The successful candidate will join COO Risk, an organization serving all business lines and senior Risk stakeholders across the bank. COO Risk owns operational stability and structural transformation initiatives and plays a critical role in enabling safe and compliant Risk processes.

The role involves extensive interaction with Credit Risk, Model Development, Model Risk, Compliance/NFR, Analytics, and IT teams in an international environment. The position reports hierarchically to the Product Lead in the Risk Data Tribe while collaborating across the broader COO Risk domain.

The role naming convention in the global ING job architecture is “Data Scientist IV”.