Quant Data Scientist (LLMs) - UAE Relocation

JR United Kingdom; Shrewsbury; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in finance is seeking a Quant Data Scientist to join their team in the UAE. This role involves leveraging data to develop innovative investment strategies, requiring strong technical expertise, and proficiency in quantitative methods. The successful candidate will work closely with a high-caliber Quant team to optimize performance metrics, enhance quality processes, and improve data-driven decisions.

Qualifications

• At least 3 years of professional experience in Data Science or Quantitative roles.
• Proficiency in Python and SQL, with experience in data libraries.
• Ability to design scalable data pipelines.

Responsibilities

• Develop and maintain automated data pipelines for financial data.
• Oversee quality control for content generated by language models.
• Collaborate with researchers to enhance AI-driven model performance.

Skills

Python

SQL

Data Processing

Problem Solving

Financial Knowledge

Education

Bachelor's or Master’s degree in a quantitative discipline

Tools

pandas

numpy

Machine Learning Frameworks

Job description

Quant Data Scientist - Hedge Fund - UAE Relocation - Leading Company

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 involves leveraging data and language models to support research, development, and implementation of systematic investment strategies. The successful candidate will have strong technical skills, a solid understanding of financial markets, and a passion for innovative data applications.

Key Responsibilities

1. Develop and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data.
2. Oversee and improve quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency.
3. Collaborate with quant researchers and engineers to enhance the performance, accuracy, and reliability of AI-driven models.
4. Conduct descriptive and exploratory analysis to identify patterns, trends, and potential applications across datasets.
5. Maintain scalable data infrastructure to support real-time and batch processing workflows.
6. Provide domain expertise to shape financial knowledge representation in LLM outputs.
7. Develop and apply custom quality metrics to evaluate and guide model performance.
8. Participate in development cycles, research discussions, and knowledge-sharing sessions.

Required Qualifications

• Bachelor's or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering).
• At least 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 numpy.
• Experience with machine learning frameworks and statistical analysis tools.
• Familiarity with financial data sources, APIs, and data modeling 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.

Preferred Qualifications

• 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.