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DRW

Data Analyst

Posted 9 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Entry level
Hybrid
London, Greater London, England
Entry level
As a Data Analyst at DRW, you will manage and maintain datasets for traders and researchers by verifying data accuracy, analyzing datasets for insights, monitoring production data issues, and improving data pipelines. Strong collaboration with stakeholders is essential in this fast-paced role.
The summary above was generated by AI

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 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 technology, front office, operations, research, and risk management. You should be comfortable investigating complex data support issues in a fast-paced environment

What you will do in this role

  • Help verify, clean, and ensure data is accurate and consistent across systems used for research and analysis by the various trading teams globally
  • Analyse datasets in order to draw conclusions and provide insight to address stakeholder or project-related questions
  • Collect metrics and analyse datasets across different dimensions of data quality including; completeness, validity, accuracy, timeliness, and consistency
  • Perform preliminary root cause analysis of data quality issues
  • Monitor and work through production data issues whilst engaging key stakeholders across multiple teams and facilitating global support
  • Assist the wider team by identifying opportunities for improving existing data pipelines

What you will need in this role

  • Knowledge of a variety of financial instruments, in particular exposure to derivatives instruments
  • Experience working with SQL
  • Experience with cloud storage solutions
  • Prior experience documenting complex processes. Ideally some exposure to Confluence
  • Python programming skills: PySpark, Pandas, Jupyter Notebooks
  • Ability to work in a fast-paced environment; strong communication skills are desirable

Additional skills or experience which enhance consideration for this role

  • Prior experience developing data quality checks using Python
  • Familiarity with compressed/optimized file formats for data storage such as Parquet and HDF5
  • Prior experience working with Bloomberg Terminal
  • Familiarity with Linux and basic Bash scripting skills
  • Prior experience working with version control software
  • Experience with workflow management tools (Airflow / Argo)


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California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Top Skills

Python
SQL

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