Lead Engineer, Execution Technology
This technical lead builds Balyasny’s next execution platform while mentoring engineers. The work combines trading algorithms, concurrent Java systems and ownership of delivery.
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.
- Design execution algorithms and distributed services
- Lead projects from architecture to production rollout
- Reduce latency and strengthen system resilience
- Mentor engineers and review code and design decisions
What they ask for
Required
- Fifteen or more years of financial Java development
- Advanced concurrency and lock-free programming
- Distributed-system engineering
- Technical project leadership
- Engineer mentoring
- Ability to maintain C# systems
- Education
- No degree requirement is specified.
- Experience
- 1Five or more years of Java development for trading or finance.
- Languages and tools
How to prepare
- Explain an execution-system architecture and its latency budget
- Demonstrate concurrency choices under failure and load
- Prepare an example of leading a trading-platform migration
What to study
- Quantitative Data Engineering
- Python for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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.