Trader

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 Junior Trader , you will have an opportunity to combine the disciplines of risk management, research and technology to operate trading strategies across multiple asset classes. You will work closely with experienced traders, software engineers and quantitative researchers to ensure optimal system performance.

Responsibilities

Operate automated, latency-sensitive trading systems

Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies

Adjust system parameters dynamically based on market conditions

Manually trade to reduce risk exposure when necessary

Identify opportunities for automation and propose improvements to trading systems and operational workflows

Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes

Communicate relevant market news, events, and system behaviour to team members in a timely manner

Generate feedback on trading system performance through analysis of system logs, executions, and market data

Required Experience:

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field

Ability to understand and reason about complex distributed trading systems

Strong analytical and quantitative mindset

Proficiency in programming languages such as Python or C++

Meticulous attention to details, strong judgement and accuracy in work

Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams

Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations

Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact

Nice to Have:

Prior trader or trading analyst experience preferred

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