Data Engineer at DRW

Chicago, Illinois, United States

DRW Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, TradingIndustries

Requirements

  • 3+ years of experience working with modern data technologies and/or building data-first products
  • Extensive familiarity with SQL with a proven ability to construct maintainable queries and productionalize them as ongoing pipelines
  • Experience leveraging data modeling techniques on complex datasets and ability to articulate the trade-offs of different approaches
  • Strong skill in Java/Scala or Python
  • Familiarity with cloud-native technologies used for scalable data processing
  • Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.)
  • Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs
  • Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.)
  • Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.)
  • Proven experience in managing the operational components of large data pipelines such as backfilling datasets, rerunning batch jobs, and handling dead letter queues
  • Prior experience triaging data quality control processes, correcting data issues
  • Experience designing and building data pipelines and systems
  • Experience working within modern batch or streaming data ecosystems
  • An expert in SQL and have expertise in Java/Scala or Python
  • Can apply data modeling techniques
  • Able to own the delivery of data projects, working with analysts and stakeholders to understand requirements and implement solutions
  • Able to contribute to project management and project reporting

Responsibilities

  • Help model, build, and manage data products built atop DRW’s Unified Data Platform
  • Work alongside domain experts to gain and leverage knowledge of the relevant project’s domain to design optimized data products that meet the needs of many different research and trading strategies
  • Work closely with Traders and Researchers to determine appropriate data sources and implement processes to onboard and manage new data sources for analysis to unlock future trading opportunities
  • Design and develop data solutions to help discover, purchase, organize, track usage, manage rights, and control quality of data sets to address the needs of various DRW trading teams and strategies
  • Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Contribute to the monitoring and quality control software and processes

Skills

SQL
Java
Scala
Python
Data Pipelines
Data Modeling
Streaming Data
Batch Processing

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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