Quick summary

Work type
On-site
Location
London, United Kingdom
Posted
2 days ago

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Salary context

How this pay compares to similar roles

Similar $176k
$132k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $141,383–$210,025.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 47 open roles on FindRole.

Listed pay typically runs $175,000–$242,500 across 26 roles with salary data.

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At a glance

TL;DR · Job Detail

Balyasny Asset Management is hiring a Senior Software Engineer to join its Commodities technology team in London. This role involves building and enhancing platforms that support risk management, profit and loss calculations, and trading workflows for the commodities business. The candidate will develop user-focused applications, collaborate with portfolio managers and traders, maintain proprietary trading systems, and automate manual processes to improve operational efficiency. They will also integrate with internal platforms, document systems, and participate in on-call rotations. Ideal candidates have 5+ years of experience in a trading or risk environment, strong Python skills, and expertise in building production-grade Risk & PnL platforms. Additional desirable skills include knowledge of time-series data, Rust or C++, and familiarity with EU and US commodities markets.

What you'll do

  • Build and enhance platforms for commodities risk, P&L, and trading.
  • Develop user-focused applications and services for portfolio managers and traders.
  • Maintain and improve proprietary trading platforms to ensure reliability and performance.
  • Troubleshoot production issues and participate in support rotations.
  • Automate manual processes to increase operational efficiency across technology stack.

What we're looking for

  • 5+ years of software engineering experience in trading, risk, or front-office environment
  • Strong Python skills and experience with data-centric applications
  • Experience building and supporting production-grade Risk & PnL platforms
  • Depth of knowledge in risk, P&L, valuation, and market data
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • Ability to work closely with technical and non-technical stakeholders

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