Quantitative Researcher - Commodities, Weather

  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
USD 150,000.00 - 300,000.00 per year
Full Time

Skills

Fixed Income
Equities
FX
Venture Capital
Innovation
Collaboration
Research
Physics
Mathematics
Probability
Statistics
Time Series
Econometrics
Machine Learning (ML)
Python
R
Commodities
Energy
Trading
Pharmacy
Insurance
Privacy
Legal

Job Details

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.

The annual base salary range for this position is $150,000 to $300,000 depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

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