Quantitative Trading Software Engineer

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

Benefits offered by this job

Group medical

Dental & vision

401k match

Disability insurance

Life & AD&D

HSA

FSA

Job summary

DRW in Chicago is seeking a Software Engineer to join a team building full-stack software for a global trading operation with high availability. You will design and develop integrations with data vendors, blockchain infrastructure, and data management tools, with existing code in Python and C.

Candidates should drive projects from concept to completion, collaborating with quantitative researchers and researchers daily, and contributing to a fast-paced, high-expectation environment.

Qualifications

• 3 years of professional Python experience.
• Built complex systems in modern Python that are maintainable and safely refactorable.
• Practical knowledge of major blockchain types and clients.
• Production experience running full or archive blockchain nodes at scale.
• Hands-on experience managing large, evolving timeseries data.

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

Blockchain

Timeseries data

Data integration

Unit testing

Communication

Job description

DRW in Chicago is seeking a Software Engineer to join a team building full-stack software for a global trading operation with high availability. You will design and develop integrations with data vendors, blockchain infrastructure, and data management tools, with existing code in Python and C.

Candidates should drive projects from concept to completion, collaborating with quantitative researchers and researchers daily, and contributing to a fast-paced, high-expectation environment.