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