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