Quant Data Scientist (LLMs) - UAE Relocation

ZipRecruiter; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading Hedge Fund is searching for a Quant Data Scientist to join their expert team. This pivotal role requires a blend of data science skills and financial market knowledge to drive innovative investment strategies, leveraging advanced data pipelines and machine learning techniques.

Qualifications

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

Responsibilities

• Develop and maintain automated data pipelines for financial data.
• Conduct descriptive and exploratory analysis on various datasets.
• Collaborate with quant researchers to improve AI model reliability.

Skills

Data Processing

Statistical Analysis

Problem-Solving

Education

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

Tools

Python

SQL

Job description

Job Description

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

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 is dedicated to leveraging data and models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with 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 enhance quality control processes for financial content generated by large models (LLMs), ensuring coherence, accuracy, and logical consistency.
• Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models.
• Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets.
• Maintain robust and scalable data infra to support real-time and batch processing workflows.
• Provide domain expertise to help shape financial knowledge representation in LLM outputs.
• Develop and apply custom quality metrics to assess and guide model performance.
• Actively participate in development cycles, research discussions, and cross-functional 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 professional experience in Data Science or Quantitative roles within finance.
• Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy.
• Experience with machine learning frameworks and statistical analysis tools.
• Familiarity with financial data sources, APIs, and data modelling 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.

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.