Quick summary

Work type
On-site
Location
Hong KongLondon, United KingdomSingapore, Singapore
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 L.P. is seeking a senior-level Developer with expertise in building and integrating global quant trading infrastructure for its multi-asset arbitrage team. This role involves full lifecycle development from requirement gathering to release, working closely with quantitative researchers and portfolio managers to develop tools that support systematic trading platforms. Key responsibilities include designing robust processes for resource management, collaborating on best practices for technology integration, and automating manual tasks while ensuring stability and scalability. The ideal candidate has 5+ years of experience in financial services or enterprise-level development, proficiency in Python or Rust, and knowledge of SQL databases, real-time market data, and technologies like React, AWS, Kubernetes, and Kafka. This position requires a strong technical background, effective communication skills, and the ability to work independently within an Agile/SCRUM framework.

What you'll do

  • Develop and maintain BAM’s Equity Vol systematic trading platform and infrastructure.
  • Design scheduling and monitoring processes for the trading platform that integrate with proprietary applications.
  • Define and employ best practices for technology integration, API development, and releases across teams.
  • Balance feasibility, stability, scalability, and time-to-market while delivering solutions.
  • Work independently to enhance a shared toolset and automate manual processes.

What we're looking for

  • 5+ years of professional software development experience in financial services or enterprise-level environments.
  • Expertise in building and maintaining quantitative trading systems including high-frequency strategies.
  • Proficiency in Python and/or Rust; knowledge of C++ is beneficial.
  • Experience with relational databases, SQL engines like PostgreSQL, Snowflake, or Click House.
  • Strong background in real-time market data and historical time-series data handling.
  • Familiarity with Agile Development/SCRUM methodologies and DevOps techniques including CI/CD.
  • Ability to design robust processes for scheduling and monitoring resources across platforms.

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