Requirements

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