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Quantitative Developer, Systematic Commodities

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Quantitative Developer, Systematic Commodities

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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.

As a Quantitative Developer, you will work directly on a systematic commodity trading team to help support the entire quantitative trading process. You will have the opportunity to solve challenging problems in a dynamic environment. The ideal candidate will be entrepreneurial and passionate about exploring new ideas and improving current processes.

What you will do in this role

  • Build and maintain infrastructure to test and run trading strategies
  • Building scalable and performant software using software engineering best practices
  • Analysing requirements from traders and analysts for algorithmic trading
  • Facilitating discussions on code implementation, testing, software architecture best practices
  • Driving projects and leading new initiatives
  • Actively engaging with others on the research and development team to resolve challenging design and coding issues

What you will need in this role

  • Minimum of 2+ years’ experience in a quantitative software engineer role
  • A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent
  • Strong programming skills in Python
  • Experience needed in a strongly-typed language like C++, Java, or Rust
  • Strong understanding of software engineering principles and best practices
  • Energetic and goal oriented
  • Creative and independent thinker
  • Experience with any of these technologies is an asset: Redis, RabbitMQ, Kafka, MongoDB, Docker, WebSocket, TCP, HTTP
  • Experience with relational databases is an asset (PostgreSQL, MySQL, MS SQL Server, Oracle)
  • Interest in financial markets and trading, with prior work experience in this field is a plus
  • Strong attention to detail
  • Familiarity with commodities is a plus

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