We're partnered with a fast-growing proprietary trading firm in Dubai, seeking to expand their quant team. The role will support their quant team, with the individual having a strong understanding of data for fundamental power and energy trading, experience across forecasting, structuring of price data, and intraday trading.

Job Responsibilities

• Supporting the Quant team with data-related requirements, mainly building data scrapers and ETL pipelines

• Deploying and maintaining solutions in the cloud environment with automated quality checks

• Interacting and contributing to the building of a novel data infrastructure with a timeseries database and large-scale machine learning framework with MLOps best practices

• Focusing on one or more of our two key pillars: quantitative analysis/development or data science

• Contributing to fundamental modelling (auction optimization, fair value models) for the power/gas market

• Building machine learning forecasting models for market fundamentals (renewable production, demand etc.) and contributing to the machine learning framework and MLOps infrastructure.

Skills & Qualifications

• Degree in computer science, physics, maths or related fields

• Experience within the power/gas trading sector

• Fluency in Python (at least 2-3 years in professional setting) with the ability to write

clean, modular, well-documented code in a collaborative development setting

• Practical experience in data-engineering workflows like data-scraping, ETL pipelines, job scheduling

• Ability to build, deploy, and maintain a production script in a cloud environment (Azure experience is a plus)

• Familiarity with deployment tools like Docker is a plus

• Familiarity with the data science ecosystem in Python (numpy, pandas, scikit-learn, matplotlib)

This role requires relocation to Dubai.

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