Quant Data Scientist (LLMs) - UAE Relocation

JR United Kingdom; Plymouth; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in the UAE is seeking a Quant Data Scientist to join their high-calibre team. This role will focus on leveraging data and language models for systematic investment strategies, requiring strong technical skills in Python and SQL, as well as a solid understanding of financial markets.

Qualifications

• 3+ years of experience in Data Science or Quantitative roles within finance.
• Experience with machine learning frameworks and statistical tools.
• Familiarity with financial data sources, APIs, and data modeling techniques.

Responsibilities

• Develop and maintain automated data pipelines for financial data.
• Collaborate with quant researchers to enhance AI-driven model performance.
• Conduct analysis to identify patterns and trends across datasets.

Skills

Python

SQL

Problem-solving

Education

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

Tools

pandas

numpy

Job description

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Client:

Durlston Partners

Location:

plymouth, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

04.06.2025

Expiry Date:

19.07.2025

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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 accuracy and logical consistency.
• Collaborate with quant researchers and engineers to enhance AI-driven model performance.
• Conduct analysis to identify 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 quality metrics to evaluate 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 data libraries like pandas and numpy.
• Experience with machine learning frameworks and statistical tools.
• Familiarity with financial data sources, APIs, and data modeling techniques.
• Ability to design and maintain scalable data pipelines.
• Excellent problem-solving skills and ability to communicate complex ideas clearly.

Preferred Qualifications

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