Finance Data Scientist (LLM) - Durlston Partners - Remote - Global

Looking for a Finance Data Scientist for a discreet fund in the UAE, sitting at the intersection of AI and Investment. This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications, ensuring that the content is accurate, coherent, and logically consistent. Key Responsibilities include overseeing quality control processes for financial content generated by LLMs, creating data pipelines for financial text data, working with algorithm teams to improve model performance, providing domain expertise, developing quality metrics, and engaging in development cycles and knowledge-sharing sessions. Required qualifications include a bachelor’s degree in Finance, Economics, Computer Science, or related discipline, 2+ years of experience in finance or data science firms for finance, strong understanding of macroeconomics, financial markets, and investment principles, experience with Python and data processing libraries, machine learning frameworks, financial data sources, and excellent analytical and communication skills. Preferred qualifications include familiarity with LLM fine-tuning, NLP methods.