Senior Software Engineer, Commodities Risk & PnL

Balyasny Asset Management is seeking a Senior Software Engineer to join our Commodities technology team. This individual will work closely with portfolio managers, traders, and technology partners to build and support the platforms that power risk, P&L, and trading workflows across the commodities business. This is a hands-on engineering role focused on delivering reliable, scalable, and practical solutions in a fast-moving front-office environment. The ideal candidate combines strong technical skills with a collaborative mindset and an interest in solving real-world business problems. What You'll Do

• Build and enhance platforms, tools, and data workflows that support commodities risk, P&L, and trading Develop user-focused applications and services for portfolio managers and traders Partner directly with business users to understand workflows and deliver effective technical solutions Maintain and improve proprietary trading platforms, with a focus on reliability,
performance, and operational stability
• Troubleshoot production issues and participate in support/on-call rotations Automate manual processes and improve operational efficiency across the technology stack Integrate with internal platforms and shared services across BAM Document systems, workflows, and support procedures What We're Looking For 5+ years of software engineering experience, preferably in a trading, risk, or front-office environment Strong Python skills and experience working with data-centric applications Experience building and supporting production-grade Risk & PnL platforms Depth of experience in risk, P&L, valuation, and market data Strong understanding of software engineering best practices and the software development lifecycle Ability to work closely with technical and non-technical stakeholders Strong communication, troubleshooting, and problem-solving skills Bachelor's degree in Computer Science, Engineering, or a related field
Nice to Have
• Experience in commodities or energy markets Experience with time-series data and financial datasets Experience with Rust, C++, or other performance-oriented languages Knowledge of EU and US gas and power, oil and physical commodities