Quantitative Researcher - Commodities, Weather

DRW; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading trading firm in London is seeking a Quantitative Researcher to join the Commodities Weather Team. The ideal candidate will apply statistical and machine learning techniques to model commodity fundamentals and collaborate with engineers to deploy models. This role requires a Master's or PhD in a technical discipline along with programming skills in Python or R. Experience in systematic trading is highly advantageous.

Qualifications

• Master’s or PhD in a technical discipline, preferably Physics, Mathematics, or Statistics.
• Strong proficiency in probability and statistics.
• Programming experience in Python or R.

Responsibilities

• Apply statistical and machine learning techniques to model commodity fundamentals.
• Support the maintenance and expansion of in-house models.
• Collaborate with engineers to deploy new models.

Skills

Probability and statistics

Machine learning

Programming in Python or R

Time series analysis

Econometrics

Education

Master’s or PhD in Physics, Mathematics, or Statistics

Job description

Quantitative Researcher - Commodities, Weather

Remote - London

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.

We are seeking a Quantitative Researcher to join our Commodities Weather Team. The successful candidate will:

• Apply statistical and machine learning (ML) techniques to model commodity fundamentals.
• Support the maintenance and expansion of our in-house suite of models.
• Collaborate with engineers to deploy new models in a production environment.
• Formulate trading ideas by analyzing fundamental and weather datasets.
• Research and develop predictive signals for use in systematic trading strategies.

Qualifications:

• Master’s or PhD in a technical discipline, preferably Physics, Mathematics, or Statistics.
• Strong proficiency in probability and statistics, including time series analysis, econometrics, and machine learning.
• Programming experience in Python or R.
• Prior exposure to commodities (energy/ags) is a plus.
• Prior exposure to weather is a plus.
• Experience in systematic trading is highly advantageous.

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