Data Scientist / Researcher - Systematic Fund | UAE

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Data Scientist / Researcher - Systematic Fund | UAE, london

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Client:

Durlston Partners

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

26.08.2025

Expiry Date:

10.10.2025

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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

Preferred 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 language models (LLMs)
• Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV)
• Master’s degree in a relevant field is a plus

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