Data Analyst, Financial Markets Data & Insights

DRW Montreal

Greater London

On-site

GBP 35,000 - 55,000

Full time

14 days+

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Job summary

DRW is a diversified trading firm seeking a Data Analyst to manage onboarding, maintenance, and analysis of datasets used by traders and researchers. You will partner with data strategists, data engineers, and teams across technology, operations, research, and risk management to investigate complex data issues in a fast-paced environment.

The role emphasizes data profiling, quality metrics, cataloging, and vendor communications, with opportunities to improve data management processes across the

Qualifications

  • 1-2 years of relevant experience in data analysis or similar roles.
  • Strong foundation in financial instruments and market data symbolism a plus.
  • Proficiency with SQL and Python for exploratory data analysis.

Responsibilities

  • Analyse new datasets to profile content and surface insights for traders and researchers.
  • Collect metrics and assess data quality across dimensions like completeness and accuracy.
  • Curate data catalog entries to keep assets discoverable and well-documented.
  • Engage with front office teams to support datasets throughout their lifecycle and manage data vendor communications.
  • Monitor and resolve production data issues across teams and provide global support.
  • Identify opportunities to improve datasets and data management processes.

Skills

SQL proficiency
Python scripting
Data analysis
Communication skills

Tools

PySpark
Pandas
Jupyter Notebooks

Job description

DRW is a diversified trading firm seeking a Data Analyst to manage onboarding, maintenance, and analysis of datasets used by traders and researchers. You will partner with data strategists, data engineers, and teams across technology, operations, research, and risk management to investigate complex data issues in a fast-paced environment.

The role emphasizes data profiling, quality metrics, cataloging, and vendor communications, with opportunities to improve data management processes across the

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