Data Analyst, Exploration
About The Position
As a Data Analyst, Exploration, you will support the operational onboarding, management, and maintenance of datasets used by traders and quantitative researchers. You will collaborate with data strategists, data engineers, and teams across technology, operations, research, and risk management. The role involves investigating complex data issues in a fast-paced environment and supporting datasets throughout their lifecycle. DRW is a diversified trading firm operating across global markets and multiple asset classes, with additional strategies in real estate, venture capital, and cryptoassets. The company describes its culture as grounded in respect, curiosity, integrity, innovation, high expectations, and a willingness to challenge consensus.
Requirements
- 1–2 years of relevant experience.
- Strong foundational knowledge of financial instruments and market data symbology, with an interest in developing further expertise in these areas.
- Proficiency with SQL and Python for exploratory data analysis, including PySpark, pandas, numpy, and Jupyter Notebooks.
- Ability to document and clearly explain complex data analysis findings.
- Exceptional attention to detail and effective communication skills.
- Ability to think independently and collaboratively.
Nice To Haves
- Experience with cloud services such as AWS Athena and Amazon S3.
- Familiarity with Linux and basic Bash scripting skills.
- Experience with version control tools such as Git.
- Good understanding of data management and data quality principles, with experience developing data quality checks or reports.
- Prior experience using the Bloomberg Terminal.
- Experience with Apache Airflow or similar tools.
Responsibilities
- Analyze new datasets to profile their content, identify collection and storage requirements for data engineering teams, and surface insights for data strategists and front-office stakeholders.
- Collect metrics and analyze datasets across data-quality dimensions, including completeness, validity, accuracy, timeliness, and consistency.
- Curate data catalog entries so research data assets are accurately represented and discoverable.
- Engage with global front-office research teams to support datasets throughout their lifecycle, address content inquiries, and manage communications with external data vendors.
- Monitor and resolve production data issues, engage key stakeholders across teams, and facilitate global support.
- Identify opportunities to improve existing datasets and data management processes.
Benefits
- Annual discretionary bonus eligibility.
- Group medical insurance.
- Pharmacy insurance.
- Dental insurance.
- Vision insurance.
- 401(k) with discretionary employer match.
- Short- and long-term disability insurance.
- Life and AD&D insurance.
- Health savings accounts.
- Flexible spending accounts.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
