Data Analyst: Financial Data & Front-Office Insights

DRW Holdings, LLC.; Greater London; On-site; GBP 42,000 - 62,000; Full time

Job summary

DRW is seeking a Data Analyst in London to support traders and quantitative researchers with robust datasets and data pipelines.

You will profile datasets, monitor data quality, and contribute to data cataloging and governance while collaborating with data engineers, researchers and front-office teams. Strong SQL and Python skills, plus knowledge of market data, are essential for success. Experience with cloud services and scripting is a plus.

Qualifications

• 1-2 years of relevant experience.
• Strong foundational knowledge of financial instruments and market data symbology.
• Proficiency with SQL and Python for exploratory data analysis.
• Ability to document and clearly explain complex data analysis findings.
• Exceptional attention to detail and effective communication skills.
• Ability to think both independently and collaboratively.

Responsibilities

• Analyse new datasets to profile content and surface insights for data strategists and front-office stakeholders.
• Collect metrics and analyze data quality across dimensions like completeness, validity, accuracy, timeliness, and consistency.
• Curate data catalog entries for easy discovery and governance.
• Engage with global front office teams to support datasets lifecycle and vendor communications.
• Monitor and resolve production data issues, coordinating with multiple teams.
• Identify opportunities to improve datasets and data management processes.

Skills

SQL

Python

PySpark

Pandas

Jupyter Notebooks

Documentation

Attention to detail

Independent & collaborative

Data quality principles

Bloomberg Terminal

Tools

AWS Athena

Amazon S3

Git

Linux

Bash

Apache Airflow

Job description

DRW is seeking a Data Analyst in London to support traders and quantitative researchers with robust datasets and data pipelines.

You will profile datasets, monitor data quality, and contribute to data cataloging and governance while collaborating with data engineers, researchers and front-office teams. Strong SQL and Python skills, plus knowledge of market data, are essential for success. Experience with cloud services and scripting is a plus.