Quantitative Researcher - Commodities

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 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

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