Data Analyst

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 currently hiring a Data Analyst to join our Event Analysis and Insight team.

Candidates must have a passion for data manipulation and visualization and the ability to think both independently and collaboratively.

They will work on the analysis of post event data, reports and providing insight.

Candidates must be comfortable working within a fast-paced, and at times highly demanding environment.

They must possess a keen sense of enthusiasm and attention to detail, as well as a sense of commitment and dedication to both teams.

You’ll feel right at home if you:

• Have at least 1 year of relevant experience.
• Have exceptional attention to detail and data gathering skills
• Are great at finding patterns
• Are great at presenting findings
• Love digging through data in search of clues
• Strong desire to leverage the use of AI
• Are able to balance several time sensitive requests
• Have effective communication skills (oral and written)
• Are extremely organized
• Are willing to learn and adapt to a quickly-changing environment
• Have completed a Bachelor’s degree in a related field - economics, finance, commerce, Information Technology or computer science
• Have a good knowledge of Python for data manipulation and visualization