Finance Data Scientist; LLM

This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications to ensure that the content is accurate, coherent, and logically consistent.

• Oversee and enhance the quality control processes for financial content generated by LLMs.
• Create and implement data pipelines for the processing and analysis of financial text data.
• Work closely with the algorithm team to improve model performance and accuracy.
• Provide domain expertise to enhance the representation of financial knowledge in LLM outputs.
• Develop and apply quality metrics to assess model outputs.
• Engage in development cycles and knowledge-sharing sessions with technical teams.

• Bachelor's degree in Finance, Economics, Computer Science, or a related discipline (Master's is a plus).
• 2+ years of professional experience in finance (funds, banks, fintech, etc.) or data science firms for finance.
• Strong grasp of macroeconomics, financial markets, and investment principles.
• Experience with Python programming, particularly with pandas and data processing libraries.
• Experience with machine learning libraries and frameworks.
• Understanding of financial data sources and APIs.
• Capability to design and implement data pipelines and workflows effectively.
• Exceptional analytical and problem‑solving abilities.
• Strong communication skills with the ability to convey complex financial concepts clearly.

• Familiarity with LLM fine‑tuning and optimisation techniques.
• Knowledge of NLP methods.