Quantitative Software Engineer, Research – Trading

DRW Holdings, LLC; Chicago (IL); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401k Matching

Disability Insurance

Life Insurance

Job summary

DRW Holdings, LLC in Chicago is seeking a Software Engineer to join Cumberland Systematic. You will design, develop, and maintain the full stack to support a global trading operation with high availability, collaborating with quantitative researchers.

You will integrate with data vendors, blockchains, and exchanges, using Python and C++, contributing across the research lifecycle from data engineering to feature generation.

Qualifications

• Python experience gained through professional experience.
• Built complex systems in modern Python that are maintainable and safely refactorable.
• Hands-on experience managing large, evolving timeseries data.
• A working knowledge of type safety and type systems.
• Strong verbal and written communication skills.

Responsibilities

• Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research.
• Accelerate the research lifecycle from data engineering to feature generation and analysis.
• Integrate with diverse data sources such as blockchains, exchanges, and data vendors.
• Test at the unit, functional, and integration levels.
• Work within in a small team as well as independently with a strong user focus.
• Provide on-call support as needed.

Skills

Python

Timeseries data handling

Type safety

Communication

Self-motivated learning

Tools

C++

Job description

DRW Holdings, LLC in Chicago is seeking a Software Engineer to join Cumberland Systematic. You will design, develop, and maintain the full stack to support a global trading operation with high availability, collaborating with quantitative researchers.

You will integrate with data vendors, blockchains, and exchanges, using Python and C++, contributing across the research lifecycle from data engineering to feature generation.