Quant Data Scientist (LLMs) - UAE Relocation

JR United Kingdom; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

An exciting opportunity for a Quant Data Scientist within a prestigious hedge fund in London. This role emphasizes the application of quantitative research and artificial intelligence to advance systematic investment strategies. Candidates will leverage their technical expertise, particularly in Python and data science, to maintain high-quality financial data processes and contribute to innovative projects.

Qualifications

• 3+ years of experience in Data Science or Quantitative roles within finance.
• Experience with machine learning frameworks and statistical tools.
• Ability to design and maintain scalable data pipelines.

Responsibilities

• Develop and maintain automated data pipelines for financial data.
• Collaborate with quant researchers to enhance model performance.
• Conduct analysis to uncover patterns across datasets.

Skills

Data Science

Quantitative Analysis

Python

Machine Learning

SQL

Problem-Solving

Education

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

Tools

pandas

numpy

Job description

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Quant Data Scientist (LLMs) - UAE Relocation, London (City of London)

Client: Durlston Partners

Location: London (City of London), United Kingdom

Job Category: Other

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EU work permit required:

Yes

Job Views:

2

Posted:

16.06.2025

Expiry Date:

31.07.2025

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 focuses on 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

• Develop and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data.
• Oversee and improve 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 enhance model performance, accuracy, and reliability.
• Conduct analysis to uncover patterns, trends, and applications across datasets.
• Maintain scalable data infrastructure for real-time and batch processing.
• Provide domain expertise to shape financial knowledge representation in LLM outputs.
• Develop and apply custom metrics to assess and guide model performance.
• 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).
• 3+ years of experience in Data Science or Quantitative roles within finance.
• Proficiency in Python and SQL, with experience in libraries like pandas and numpy.
• Experience with machine learning frameworks and statistical tools.
• Familiarity with financial data sources, APIs, and data modeling.
• Ability to design and maintain scalable data pipelines.
• Excellent problem-solving skills and clear communication of complex ideas.

Preferred Qualifications

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