ING
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ING yra tarptautinė finansų institucija, teikianti bankininkystės, investavimo ir susijusias finansines paslaugas privatiems bei verslo klientams. Įmonė veikia keliose šalyse ir yra laikoma pirmaujančiu Nyderlandų banku. Jos veikla apima finansines paslaugas, daugiausia dėmesio skiriant atitikties užtikrinimui, rizikos valdymui ir stipriam įmonių valdymui. ING taip pat pabrėžia tvarumą ir įmonių atsakomybę, įgyvendindama su klimato veiksmais, įvairove ir finansine gerove susijusias iniciatyvas.

Generative AI Risk Expert - ING, Warsaw Onsite

Lead generative AI initiatives across ING’s Credit Risk model lifecycle in a regulated banking environment. Use Python, SAS, and SQL to develop compliant, scalable solutions with teams across Risk, Analytics, and Technology.

Aprašymas

  • Identify and prioritize high-impact AI opportunities across the Credit Risk model lifecycle, including data management, development, validation, monitoring, and regulatory compliance
  • Create proof-of-concept solutions in partnership with Risk, Analytics, and Technology teams
  • Assess and apply Large Language Models and Copilot tools to improve risk and model-related processes
  • Use Python, SAS, and SQL to build, test, and evaluate innovative solutions and working methods
  • Scale successful experiments into sustainable solutions adopted across COO Risk
  • Serve as a trusted AI advisor to Credit Risk stakeholders
  • Translate emerging AI technologies into practical solutions that support business adoption
  • Work with international teams across Risk, Analytics, Technology, Data, and Compliance
  • Maintain governance, traceability, auditability, and regulatory compliance for AI-enabled solutions
  • Promote innovation and AI-supported ways of working across Risk
  • Report to the Product Lead in the Risk Data Tribe while collaborating across the COO Risk domain

Reikalavimai

  • Demonstrated enthusiasm for AI and the ability to identify opportunities where AI, advanced analytics, or generative AI can deliver business value
  • Strong practical experience with Python, SAS, and SQL
  • Familiarity with modern AI ecosystems, including Copilot, Large Language Models, and automation platforms
  • Understanding of the requirements and constraints for compliant AI solutions in highly regulated banking environments
  • Ability to work independently, take ownership, and drive change within complex organizations
  • Strong relationship-building and stakeholder-influencing skills across business and technical functions
  • Extensive experience in Credit Risk, risk modeling, or risk process transformation in a regulated environment is advantageous
  • Understanding of the end-to-end credit risk model lifecycle is advantageous
  • Experience deploying AI, generative AI, or advanced analytics solutions to production is advantageous
  • Experience with model governance, validation, regulatory reviews, or audit processes is advantageous
  • Experience converting proof-of-concept work into scalable business solutions is advantageous

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