Expert - Generative AI in Risk
At a glance
Mid-level AI Engineering role at ING. Warszawa · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Find promising AI applications across credit risk models, from managing data and building models through validation and oversight
- Build proof-of-concept work with risk, analytics and technology teams to show where AI can add business value
- Use Python, SAS and SQL to create, test and assess new analytical approaches
- Move successful experiments into durable solutions used across COO Risk, while meeting governance and regulatory needs
- Advise credit risk teams on AI opportunities, feasibility and practical adoption
What you bring
- Hands-on ability with Python, SAS and SQL, plus experience using modern AI tools such as Copilot, LLMs and automation platforms
- You can spot useful AI or advanced analytics applications and understand the limits of compliant AI in regulated banking
- You work independently, take ownership and can influence stakeholders across business and technical teams
Who this fits
This mid-level role suits someone who wants to apply AI to credit risk and work with international teams across risk, analytics, technology, data and compliance. You’ll report to the Product Lead in the Risk Data Tribe while working across the wider COO Risk domain. The position is based in Warszawa, Poland.
From the employer
ING Hubs Poland is hiring!
The expected salary for this position: 13 000 - 22 000 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you, if you:
- Are passionate about the potential of AI and can identify opportunities where AI, advanced analytics, or GenAI solutions can create meaningful business impact,
- Have strong hands-on experience with Python, SAS and SQL and enjoy solving analytical challenges,
- Have experience working with modern AI ecosystems, including Copilot, LLMs and automation platforms.
- Understand constraints of building compliant AI solutions in a highly regulated banking sector
- Are comfortable working independently, taking ownership, and driving change across complex organizations,
- Build strong relationships and can effectively influence stakeholders across different business and technical areas.
You'll get extra points for:
- Having extensive experience in Credit Risk, risk modelling, or risk process transformation within a regulated environment,
- Understanding the end-to-end credit risk model lifecycle and the challenges that come with it,
- Successfully delivering AI, GenAI or advanced analytics solutions into production environments,
- Experience with model governance, validation, regulatory reviews or audit processes,
- Turning innovative ideas and proofs of concept into scalable business solutions,
Your 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 your 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.
Information about the 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 Product Lead in Risk Data Tribe but collaborating and extending the network and scope of work to entire COO Risk domain.
The role naming convention in the global ING job architecture will be "Data Scientist IV".