div h3 Requirements /h3 ul li Bachelor's, Master’s, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field /li , li Significant professional experience (typically 7–12+ years) in AI/ML product development / management, model validation, quantitative research, risk modelling, or related areas /li , li Demonstrated success working with technical teams or senior specialists in high stakes modelling environments /li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques /li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks /li , li Familiarity with model evaluation tooling, experimentation frameworks, and modern ML infrastructure /li , li Excellent communication skills, with the ability to present...