Senior Software Engineer

Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 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.

We are seeking an experienced full-stack developer to join our Risk team. This role is critical in designing, building and maintaining the in-house risk engine, which supports real-time calculation and monitor of PnL, VaR, greeks, risk slides, and other key risk metrics.

The ideal candidate will have strong backend and frontend development skills, a deep understanding of financial systems, and the ability to work closely with quantitative analysts and market risk analysts to translate complex financial models into robust, production-ready applications.

• Design, build, and maintain high-impact real-time risk systems used daily by risk, traders, and executives, including: 24/5 live PnL tracking, VaR and other exposure calculations, web-based risk dashboards, Interactive and user-friendly analytical tools, and efficient and robust alerting system
• Collaborate with the rest of the risk team to understand requirements, implement risk models, and ensure performance and scalability of the risk systems.
• Build responsive and intuitive front-end interfaces for visualizing and interacting with risk metrics.
• Optimize system performance and reliability, ensuring low-latency and high-availability under real-time trading conditions.
• Write clean, well-documented, and tested code.
• Participate in code reviews and lead design discussions.

• 5+ years of professional experience as a full-stack developer in the financial industry, preferably within proprietary trading.
• Strong proficiency in Python, especially for data processing, backend logic, and model integration.
• Familiarity with real-time data visualization.
• Familiarity with LLMs and experience using APIs for practical applications is preferred.
• Proficiency in SQL for querying large datasets, as well as a solid understanding of relational databases (e.g. Postgre
  
  SQL, MySQL) and/or No
  
  SQL stores (e.g. Redis).
• Solid understanding of data structures, APIs, and real-time data processing.
• Experience working with quants or implementing quantitative models is strongly preferred.
• Ability to work independently and collaboratively with technical and non-technical stakeholders.