
Graduate Software Engineer (DV Commodities) at DV Trading (London, United Kingdom)
DV Trading· London, United Kingdom·
Role details
Job description
About Us: Founded more than 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
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.
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
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 London office 5 days a week
DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Why work at DV Trading
- Culture: Values include excellence, agility, ownership, curiosity, and unity. The firm emphasizes a flat, collaborative structure where individuals are empowered to take ownership and make decisions.
- Work environment: Fast-paced, high-stakes trading environment with a focus on continuous learning and innovation. Traders are given significant autonomy and access to world-class technology.
- Remote/Hybrid policy: Not explicitly stated, but presence in 8 global offices suggests a preference for in-office collaboration, typical of proprietary trading firms.
- Notable perks: Opportunity to trade with the firm's own capital (no personal risk), access to cutting-edge technology, and a meritocratic culture where performance is directly rewarded.
- Engineering culture: Developers work closely with traders and risk teams to build real-time systems. Tech stack includes C++, Python, Linux, and SQL. Roles range from back-office development to low-latency systems engineering.