2027 Graduate Software Engineer (DV Commodities)

DV Trading•New York, NY

1d•$135,000 - $150,000•Onsite

About The Position

DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities' risk management, world-class technology, and talented traders have enabled it to become one of the world’s largest liquidity providers and risk allocators in the energy and commodities spaces. DV Commodities currently has over 35 desks, with traders and staff located in London, New York, Chicago, Houston, and Dubai. The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above. Base Salary Range $135,000—$150,000 USD

Requirements

Expected to graduate with a degree in Computer Science, Computer Engineering, or related field by Summer 2027
Experience programming in either C++ and/or Python in Linux environments, ideally on quantitative or latency-sensitive problems
Accelerate development with AI tools while fully owning your code from verification through edge case handling
Excellent listening, interpersonal, written, and oral communication skills
Excellent analytical and creative problem-solving skills
Ability to work onsite at our New York office 5 days a week

Responsibilities

Build and improve a variety of proprietary trading tools to support the trading desks across the business
Collaborate with other developers, tech leaders, traders, and researchers to outline the technical needs for each trading application
Work with technology and business stakeholders in iterative fashion to deliver platform functionality
Architect greenfield solutions to address business needs, and work with equal confidence in established codebases: quickly building context in unfamiliar systems, extending them safely, and improving them as you go
Use AI to accelerate development while taking full ownership of your code: apply engineering judgment across the entire lifecycle, from design and edge case handling through deployment and production support