Quant Data Scientist; LLMs

We are seeking a Data Scientist to join a high‑calibre Quant team within a discreet fund based in the UAE operating at the intersection of Quantitative Research and Artificial Intelligence. This role is dedicated to leveraging data and language models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with a solid understanding of financial markets and a passion for innovative data applications.

• Develop and maintain automated pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data.
• Oversee and enhance quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency.
• Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI‑driven models.
• Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets.
• Maintain robust and scalable data infrastructure to support real‑time and batch processing workflows.
• Provide domain expertise to shape financial knowledge representation in LLM outputs.
• Develop and apply custom quality metrics to assess and guide model performance.
• Actively participate in development cycles, research discussions, and cross‑functional knowledge‑sharing sessions.

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering).
• 3+ years of professional experience in Data Science or Quantitative roles within finance.
• Proficiency in Python and SQL with experience in data processing libraries such as pandas and Num Py.
• Experience with machine learning frameworks and statistical analysis tools.
• Familiarity with financial data sources, APIs, and data modelling techniques.
• Ability to design, implement, and maintain scalable data pipelines and workflows.
• Excellent problem‑solving skills and the ability to communicate complex ideas clearly to both technical and non‑technical audiences.

• Experience with LLM fine‑tuning, prompt engineering, or other NLP methodologies.
• Strong curiosity and motivation to explore new technologies and methodologies in data science and AI.
• Strong understanding of macroeconomics, financial markets, and investment principles.