Data Analyst

DRW Montreal; Greater London; On-site; GBP 35,000 - 55,000; Full time

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 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 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

• Analyse 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
• Engage with global front office research teams to support datasets throughout theirlifecycle, addressing content inquiries and managing communications with external data vendors
• Monitor and resolve production data issues while engaging key stakeholders across multiple teams and facilitating global support
• Assist the wider team by identifying opportunities to improve existing datasets and data management processes

What you will need in this role

• 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 (PySpark, pandas, Jupyter Notebooks)
• Ability to document and clearly explain complex data analysis findingsi>
• Exceptional attention to detail and effective communication skills
• Ability to think both independently and collaboratively

Additional skills or experience which enhance consideration for this role

• 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

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