Quant Data Scientist (LLMs) - UAE Relocation

JR United Kingdom; Coventry; On-site; GBP 55,000 - 85,000; Full time

Job summary

A leading company seeks a Quant Data Scientist for a high-caliber team in the UAE. The role focuses on developing data pipelines and enhancing AI models for systematic investment strategies. Ideal candidates will have strong technical skills in data science and finance, with a passion for innovate data applications.

Qualifications

• 3+ years of experience in Data Science or Quantitative roles within finance.
• Experience with machine learning frameworks and statistical tools.
• Strong problem-solving skills and clear communication abilities.

Responsibilities

• Develop and maintain automated data pipelines.
• Collaborate with quant researchers and engineers.
• Provide expertise to shape financial knowledge representation.

Skills

Python

SQL

Data Analysis

Machine Learning

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:

Coventry, United Kingdom

Job Category:

Other

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-caliber 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 financial text and structured data ingestion, tagging, cleansing, and integration.
2. Oversee and improve quality control processes for financial content generated by large language models (LLMs).
3. Collaborate with quant researchers and engineers to enhance AI-driven models.
4. Conduct analysis to identify patterns, trends, and applications across datasets.
5. Maintain scalable data infrastructure for real-time and batch processing.
6. Provide expertise to shape financial knowledge representation in LLM outputs.
7. Develop quality metrics to evaluate model performance.
8. Participate in development cycles, research discussions, and knowledge sharing.

Required Qualifications

1. Bachelor's or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering).
2. 3+ years of experience in Data Science or Quantitative roles within finance.
3. Proficiency in Python and SQL, with experience in pandas/numpy libraries.
4. Experience with machine learning frameworks and statistical tools.
5. Familiarity with financial data sources, APIs, and data modeling.
6. Ability to design and maintain scalable data pipelines.
7. Strong problem-solving skills and clear communication abilities.

Preferred Qualifications

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