Quant jobs / Balyasny Asset Management

Engineer, Execution Technology

The execution engineering team develops trading systems with tight latency and reliability requirements. This Java role builds trading algorithms and distributed components used directly by investment teams.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Implement execution algorithms with senior engineers
Improve concurrent and distributed trading components
Profile system behaviour under heavy transaction loads
Review designs with traders and risk colleagues

What they ask for

Required

Five or more years building financial Java systems
Concurrent programming
Lock-free techniques
Distributed-system design
Technical communication
AI-assisted development familiarity

Preferred

Low-latency engineering

Education: No degree requirement is specified.
Experience: Five or more years of Java development for trading or finance.
Languages and tools: Java

How to prepare

Build a concurrent Java order-processing example
Benchmark latency and explain tail behaviour
Demonstrate fault handling in a distributed execution component

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Balyasny Asset Management’s site before applying: requirements, location and pay can change after we check them.

View the posting on Balyasny Asset Management’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Balyasny Asset Management and doesn’t handle applications.