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Quantitative Developer (Hedge Fund) – Global Markets

Aquis Search United Arab Emirates
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join a UK-based hedge fund in Dubai as a Quantitative Developer to automate data workflows, build trading frameworks, and enhance research platforms. Collaborate with senior stakeholders to optimize quantitative strategies and improve code quality. Requires 2–6 years of Python expertise, strong data handling skills, and a Computer Science degree from a Tier 1 institution.

Key Highlights
Automate and streamline large-scale data preparation and cleaning for global markets
Develop and maintain quantitative trading frameworks with Python and data libraries
Collaborate with senior researchers and portfolio managers to productionize strategies
Key Responsibilities
Automate and streamline large-scale data preparation and cleaning processes
Build and support new quantitative trading frameworks for global markets
Productionize strategies developed by quantitative researchers into operational systems
Technical Skills Required
Python NumPy pandas
Benefits & Perks
Visa sponsorship available
Global remote work eligibility
Nice to Have
Exposure to quantitative finance
Experience with machine learning
Degree from a Tier 1 Engineering college

Job Description


A UK based Hedge Fund in Dubai is looking for a Quantitative Developer, someone who could work independently alongside senior researchers and portfolio managers across multiple global markets.


Role and Responsibilities:


• Automating and streamlining large-scale data preparation and cleaning

• Building and supporting new quantitative trading frameworks

• Productionising strategies developed by quantitative researchers

• Expanding and upgrading the team’s research and trading platform

• Improving code quality and development practices across the research team


Experience:


• Strictly 2–6 years of relevant experience

• Exceptional Python programming skills—Python is non-negotiable

• Strong experience with NumPy, pandas, or similar Python libraries

• Experience handling large datasets and building research or trading tools

• The ability to take ownership and work independently with senior stakeholders

• Exposure to quantitative finance or machine learning would be advantageous

• Must have a Computer Science or related degree from a Tier 1 Engineering college


Candidates can be based anywhere globally, and visa sponsorship is available.


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