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Quant Data Scientist (LLMs) - UAE Relocation, Stoke-on-Trent
Client: Durlston Partners
Location: Stoke-on-Trent, United Kingdom
Job Category: Other
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EU work permit required: Yes
Job Views: 4
Posted: 04.06.2025
Expiry Date: 19.07.2025
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 the performance, accuracy, and reliability of AI-driven models.
* Conduct descriptive and exploratory analysis to identify patterns, trends, and potential applications across datasets.
* Maintain scalable data infrastructure to support real-time and batch processing workflows.
* Provide domain expertise to shape financial knowledge representation in LLM outputs.
* Develop and apply custom quality metrics to evaluate and improve model performance.
* Participate actively 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.
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