Quantitative Researcher - Commodities
DRW · On-site
MeritLog read this listing from DRW's Greenhouse job board and last checked it on September 10, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- London
- Occupation
- Data Scientists(O*NET 15-2051.00)
Hiring context
How this role compares at DRW
DRW has 157 live roles in MeritLog’s catalog across 9 job families, and 68 of them are in data & analytics. 68 of those listings publish a pay range, a disclosure rate of 43%.
DRW concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
What they're asking for
- A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related fieldEducation
- Experience using AI and LLM’sSkill
- Passion and interest for a quant researcher role solving real-world business problemsSkill
- Minimum of two years' experience in alpha generating roleSkill
- Experience working with large datasets, data cleaning, preprocessing, and feature engineeringSkill
- Experience building, validating, deploying, monitoring, and updating predictive modelsSkill
- Excellent programming and scripting skillsSkill
- Experience working independently and delivering resultsSkill
- Excellent written and oral communication skills, experience communicating complex ideas clearly and concisely to peers and stakeholdersSkill
- Strong collaborative intent, strong outcome driven focusSkill
- Positive, team focused attitudeSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW are looking for an experienced Quant Researcher to join our global commodities trading team to aid in alpha generation, research, development, and maintenance of analytics infrastructure. 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 Qualifications: • 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. #JW1
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