Quantitative Analyst Jobs In Dubai UAE 2023

1 week ago


Dubai, Dubai, United Arab Emirates Easygenerator Full time
Quantitative Analyst Jobs In Dubai UAE 2023 | EasygeneratorFor More Top Organization Jobs Click HereDescription:
We are looking for a highly motivated and innovative Quantitative Analyst to join our team.

As a Quantitative Analyst, you will be responsible for developing and implementing advanced trading strategies that leverage your quantitative skills to forecast opportunities and mitigate risks in the energy trading markets.

You will work closely with cross-functional teams to identify and analyze market trends, test new ideas, and execute trades that create value.

The ideal candidate will have a passion for data engineering and data science, and a drive to tackle complex problems in the energy market (power or gas).

Job Responsibilities

Supporting the Quant team with data-related requirements, mainly building data scrapers and ETL pipelinesDeploying and maintaining solutions in the cloud environment with automated quality checksInteracting and contributing to the building of a novel data infrastructure with a timeseries database and large-scale machine learning framework with MLOps best practicesFocusing on one or more of our two key pillars: quantitative analysis/development or data scienceContributing to fundamental modelling (auction optimization, fair value models) for the power/gas marketBuilding machine learning forecasting models for market fundamentals (renewable production, demand etc.) and contributing to the machine learning framework and MLOps infrastructure.

Job Requirements
Degree in computer science, physics, maths or related fieldsFluency in Python (at least 2-3 years in professional setting) with the ability to write clean, modular, well-documented code in a collaborative development settingPractical experience in data-engineering workflows like data-scraping, ETL pipelines, job schedulingAbility 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 plusFamiliarity with the data science ecosystem in Python (numpy, pandas, scikit-learn, matplotlib)
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