Quant Data Scientist (LLMs)

TL;DR

Quant Data Scientist (LLMs): Leveraging data and language models to support research, development, and implementation of systematic investment strategies with an accent on automated data pipelines, LLM quality control, and financial data integration. Focus on enhancing AI-driven models, conducting exploratory analysis, and maintaining scalable data infrastructure.

Location: Abu Dhabi, Dubai (UAE relocation)

Salary: Up to $220k base + Bonus

Company

High-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence.

What you will do

• Develop and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data.
• Oversee quality control processes for financial content generated by LLMs, ensuring coherence, accuracy, and logical consistency.
• Collaborate with quant researchers and engineers to improve performance, accuracy, and reliability of AI-driven models.
• Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across datasets.
• Maintain robust and scalable data infrastructure for real-time and batch processing workflows.
• Provide domain expertise to shape financial knowledge representation in LLM outputs and develop custom quality metrics.

Requirements

• Bachelor’s or Master’s degree in a quantitative discipline (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/numpy.
• 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 ability to communicate complex ideas clearly.

Nice to have

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