- Google Cloud Platform
- Azure
- Python
technologies-optional :
- Business analytics
about-project :
- Perform independent validation and testing of a range of Gen AI models across global ING business lines and locations to identify weaknesses and potential risks for the business
responsibilities :
- Perform independent validation and testing of a range of Gen AI models across global ING business lines and locations to identify weaknesses and potential risks for the business
- Deep-dive technical review of the models assessing the conceptual soundness and appropriateness of model methodologies, data quality, and model implementation, among others
- Ensure model compliance with regulations, internal policies and industry best practices.
- Collaborate closely with cross-functional teams including model developers, risk managers, and stakeholders to address model-related findings and promote best practices.
- Stay up to date with industry trends and regulatory guidelines, in particular related to generative AI and advanced analytics models to be able to contribute to the continuous improvement of validation methodologies, standards and automation.
requirements-expected :
- An advanced degree (Masters or Ph D) in a quantitative discipline, such as Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field
- Profound understanding of Generative AI, especially Large Language Models (LLMs) and their popular applications such as chatbots, summarization, marketing content generation, etc.
- Hands-on experience with Google Cloud Platform and/or Azure
- Analytical skills with the ability to critically assess complex models, effectively articulate and document model risk findings
- Minimum 3 years of professional experience, preferably in development and/or validation of Gen AI models in a financial institution or related industry
- English verbal and writing proficiency at C1/C2 level
- Excellent communication skills to collaborate with cross-functional teams and present validation results to both technical and non-technical stakeholders
- Experience writing code in Python, data processing and advanced visualization
- You are results-oriented, committed to high standards and quality of work
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- integration events
- corporate gym
- video games at work
- parking space for employees
- leisure zone
