Venture search
Dubai, United Arab Emirates
Posted 22 hours ago Hybrid Permanent Competitive
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.
