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Engineer, Portfolio Manager Support

Job Description

About the Opportunity

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $28 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm’s investment teams span five strategies, including Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny’s mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

Responsibilities

  • Act as the primary point of contact for PMs and Analysts, providing high-touch support, training, and enablement for BAM’s Platform services and infrastructure.
  • Educate developers and researchers about the platform technology landscape, training on and facilitating the use of AWS, Airflow, Coder, Jenkins, Kubernetes, Terraform, and more to build, test, deploy, run, and observe.
  • Collaborate with analytics and engineering teams to automate data workflows, improve knowledge bases, and educate users on data-driven best practices.
  • Connect stakeholders across the firm to identify solutions, champion product enhancements, and share knowledge globally.
  • Deliver high-quality, proactive incident management and service delivery, ensuring timely resolution of user issues and continuous improvement of support processes.

About You

General Requirements:

  • Bachelor’s degree or higher in Computer Science, Engineering, Finance, Math, or related field (or relevant equivalent experience).
  • Strong knowledge in Linux operating systems and Python.
  • Demonstrated expertise in troubleshooting, problem-solving, and clear stakeholder communication (both written and verbal).
  • Familiarity with cloud, automation, and/or database concepts (with willingness to broaden skill set across tracks).

Preferred/Bonus:

  • Experience in a hedge fund, investment bank, or commodities environment.
  • Familiarity with messaging systems (Kafka, RabbitMQ), CTRM/ETRM platforms, or major cloud providers (AWS, Azure, GCP).
  • Scripting/automation skills (Python, PowerShell, Bash).