Data Analyst

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 on our Market Data Systems team, you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets—both real-time and historical—used by traders and quantitative researchers to analyze financial markets, determine trading opportunities, and establish trading strategies. 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 and proposing platform solutions in a fast-paced trading environment.

What you will do in this role

Be a subject matter expert in our market data platforms, consisting of real-time and financial time series components

Work closely with traders, researchers and engineers to integrate market data platforms into research lifecycles

Help verify, clean, and ensure data is accurate and consistent across systems used for research and analysis

Analyse datasets 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 root cause analysis of data quality issues and monitor production data issues whilst engaging key stakeholders across multiple teams and facilitating global support

Enhance the market data platform for internal data publishing and propose solutions for various integration use cases across internal systems

Identify opportunities for improving existing data pipelines and data onboarding processes

What you will need in this role

Experience in market data systems (e.g., OneTick, Activ Financial, KDB, B-Pipe, Elektron)

Knowledge of a variety of financial instruments, in particular exposure to derivatives instruments

Experience working with datasets of various forms including time series, reference data, and fundamental data

Knowledge of data-related concepts such as metadata, descriptive metrics, attributes, and properties

Experience with SQL and databases, including query construction and optimization

Programming skills: Python (PySpark, Pandas, Jupyter Notebooks) and/or C++

Experience with cloud storage solutions

Strong problem-solving and communication skills

Ability to work in a fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment

Additional skills or experience which enhance consideration for this role

Familiarity with Amazon Web Services or other cloud providers (S3, Athena)

Prior experience working with a variety of financial data providers and exchange data

Prior experience working with traders and quantitative researchers

Familiarity with real-time software concepts

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)

Prior experience documenting complex processes for varied audiences

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