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Jobs/Quant Role/Quantitative Researcher - Commodities

Quantitative Researcher - Commodities

DRWLondon4w ago
In OfficeEMEADiagnosticsArtificial IntelligenceQuantQuantitative Researcher

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Requirements

• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field • Experience using AI and LLM’s • Passion and interest for a quant researcher role solving real-world business problems • Minimum of two years' experience in alpha generating role • Experience working with large datasets, data cleaning, preprocessing, and feature engineering • Experience building, validating, deploying, monitoring, and updating predictive models • Excellent programming and scripting skills • Experience working independently and delivering results • Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholders • Strong collaborative intent, strong outcome driven focus • Positive, team focused attitude • For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. • California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

Responsibilities

• Developing systematic trading strategies and alpha generating signals across commodity markets • Enhancing data collection procedures to support improved design, development and maintenance of data pipelines to be used in research/trading • Analyze large, diverse datasets to identify trends as well as building and maintaining models to support trading decisions. Including the use of AI and LLM’s • Extract and organize data from a number of source options, performing quantitative analysis in support of trading • Assist in the development of analytical tools • Translate business needs into data science projects • Collaborate with stakeholders at each stage of project • Communicate projects and results to audiences with different backgrounds • Create and maintain post-trade diagnostics tools across various strategies

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