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About DRW

DRW is a global trading firm with more than 30 years of experience combining advanced technology with strong talent to participate in markets worldwide. The firm values independence and the ability to move quickly when opportunities arise, and it trades with its own capital and at its own risk.

With its headquarters in Chicago and offices across the U.S., Canada, Europe, and Asia, DRW trades multiple asset classes such as fixed income, ETFs, equities, FX, commodities, and energy in major global markets. Its capabilities and technology have also supported expansion into real estate, venture capital, and cryptoassets.

The company emphasizes respect, curiosity, openness, high standards, integrity, innovation, and a willingness to question accepted ideas.

Role overview

In this position on the Market Data Systems team, you will support the onboarding, maintenance, and management of both real-time and historical datasets that traders and quantitative researchers rely on to study financial markets, identify opportunities, and shape trading strategies. You will partner with teams across technology, front office, operations, research, and risk, while also troubleshooting complex data issues and suggesting platform improvements in a fast-moving trading environment.

Key responsibilities

Act as a go-to expert for market data platforms covering real-time feeds and financial time-series data.
Collaborate with traders, researchers, and engineers to embed market data tools into research workflows.
Review, validate, and improve data quality so information remains accurate and consistent across research systems.
Study datasets and translate findings into insights that answer stakeholder and project questions.
Track data quality indicators such as completeness, validity, accuracy, timeliness, and consistency across multiple dimensions.
Investigate the root causes of data quality incidents, monitor production issues, and coordinate support across global teams.
Improve internal market data publishing capabilities and recommend integration approaches for internal systems.
Spot and drive enhancements to data pipelines and onboarding processes.

Requirements

Hands-on experience with market data platforms such as OneTick, Activ Financial, KDB, B-Pipe, or Elektron.
Working knowledge of financial instruments, especially derivatives.
Experience handling different data types, including time-series, reference, and fundamental datasets.
Understanding of data concepts such as metadata, descriptive metrics, attributes, and properties.
Experience using SQL and databases, including writing and optimizing queries.
Programming ability in Python, including tools such as PySpark, Pandas, and Jupyter Notebooks, and/or C++.
Exposure to cloud storage solutions.
Strong analytical, troubleshooting, and communication skills.
Comfort working in a high-pressure, fast-paced trading environment while managing several priorities.
Preferred experience includes AWS or other cloud platforms such as S3 and Athena.
Additional advantage if you have worked with financial data vendors and exchange data.
Experience partnering with traders and quantitative researchers is beneficial.
Familiarity with real-time software concepts is a plus.
Prior use of Python to build data quality checks is advantageous.
Knowledge of compressed storage formats such as Parquet and HDF5 is helpful.
Experience with Bloomberg Terminal is a plus.
Linux familiarity and basic Bash scripting skills are useful.
Experience with version control tools is beneficial.
Exposure to workflow management tools such as Airflow or Argo is advantageous.
Ability to document complex processes clearly for different audiences is a plus.

Additional information

For details on DRW’s processing of applicant data, please refer to its Privacy Notice. California residents are also directed to the California Privacy Notice to understand certain legal rights.

Work location

This role is based in Singapore, Singapore and is listed as an onsite position.

Data Analyst

Where you'll work