Data Analyst, Exploration
DRW
- Location
- Chicago
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Salary
- $100k – $120k/yr
- Posted
- 2h ago
Skills
About this role
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 Data Analyst, Exploration you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including data strategists and data engineers, as well as teams across technology, operations, research, and risk management. You should be comfortable investigating complex data issues in a fast-paced environment.
What you will do in this role
• Analyze new datasets to profile their content, identify collection and storage requirements for data engineering teams and proactively surface insights about the datasets for data strategists and front-office stakeholders
• Collect metrics and analyze datasets across different dimensions of data quality including completeness, validity, accuracy, timeliness, and consistency
• Curate data catalog entries to ensure our research data assets are accurately represented and easily discoverable
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