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Posted January 25, 2021
DRW

Quantitative Researcher, Machine Learning

Greenwich, USA Full Time
Reference: 1480800

As a Quantitative Researcher, you will join a small trading team with a macro-RV mandate. You will be tasked with solving challenging problems arising...

As a Quantitative Researcher, you will join a small trading team with a macro-RV mandate. You will be tasked with solving challenging problems arising in a trading environment while utilizing statistical and machine learning techniques as the group continues to research and deploy new strategies. You will join a team with a start-up feel, and work directly with experienced traders that are intellectually curious across the spectrum of finance, mathematics, and technology.

How you will make an impact:

  • Formulate and apply mathematical modeling and quantitative techniques such as machine learning or econometrics to systematically identify and monetize trading opportunities across markets, with an emphasis on global fixed income
  • Work closely with traders and researchers to build, automate and improve existing trading and monitoring tools, strategies and research infrastructure
  • Keep abreast of the latest academic and market research in order to advance the groups research agenda

What you bring to the team:

  • Degree in a technical discipline from a top university with a focus on statistics, machine learning, econometrics, or related fields, and a GPA > 3.7/4
  • 1-2 years of full-time professional experience or multiple internships as a Quantitative Researcher applying statistics and machine learning techniques to real-world datasets, preferably in the financial markets (though strong candidates in tech will also be considered)
  • Proficiency in Python programming using the machine learning stack: numpy, pandas, scikit-learn, keras, tensorflow, pytorch, etc.
  • Solid mathematical and analytical ability, including in-depth knowledge of statistics; working knowledge of standard ML algorithms, including SVMs, random forests, boosting, k-means, neural networks, etc.
  • Self-motivated and able to work collaboratively and productively with others
  • Strong sense of accountability and desire to continuously learn
  • Excellent written and verbal communication skills to report research results as well as methodologies

This listing expired on Mar 10. Applications are no longer accepted.

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