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Data Scientist / Researcher - Systematic Fund | UAE

ZipRecruiter
London
2 weeks ago
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Job Description

We are partnered with an elite systematic investment fund in the UAE seeking Data Scientists and Data Researchers with a strong interest in AI and Finance to join their growing team. This role sits at the intersection of quantitative research and data science, with a focus on advancing systematic investing through innovative data solutions.

Key Responsibilities:

  • Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data).
  • Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies.
  • Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process.
  • Collaborate with researchers, engineers, and finance experts to enhance model performance and research workflows.
  • Apply domain expertise to improve the financial accuracy and relevance of AI-driven outputs.

Key Requirements:

  • Bachelor’s degree in Finance, Computer Science, or a related discipline
  • 2+ years of experience in finance, data science, or a closely related field
  • Strong understanding of macroeconomics, financial markets, and investment principles
  • Proficiency in Python, with experience in data manipulation libraries such as pandas and NumPy
  • Strong analytical skills with the ability to design efficient data pipelines and workflows
  • Excellent communication skills, able to convey complex concepts to both technical and non-technical stakeholders

Qualifications:

  • Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background
  • Familiarity with machine learning, NLP, and large models (LLMs)
  • Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV)
  • Master’s degree in a relevant field is a plus

Location:

UAE - Relocation support provided


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