Macro AI Engineer

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$175,000 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $162k
$132k most similar roles pay here $235k

This role pays less than 59% of similar roles. Most pay $148,550–$214,000 — the shaded band above. At the midpoint, this role pays about $162k versus about $181k for comparable roles.

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 64 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 35 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Macro AI Engineer

The Macro AI Engineer joins the Macro and Fixed Income team to accelerate the adoption of in-house generative AI and data science products across rates, credit, FX, and macro strategies. You will work directly with trading desks to translate portfolio manager requirements into technical solutions, streamline workflows for market analysis, and provide training through demos and cheat-sheets. The role involves building production-grade systems using Python, ML packages, Docker, Kubernetes, and AWS infrastructure. You will also manage LLM integration, RAG systems, vector databases, and knowledge graphs to solve complex problems in the macro and fixed income landscape. Key technical requirements include experience with OpenAI or Anthropic APIs, multi-agent architectures, and high-performance data analysis. The position requires a strong foundation in computer science and familiarity with macroeconomic indicators and investment workflows.

What you'll do

  • Develop and deploy production-grade AI systems for investment, research, and risk management in macro and fixed income markets.
  • Translate portfolio manager and analyst requirements into concrete technical solutions for global market challenges.
  • Embed with trading desks to integrate in-house generative AI and data science tools into daily workflows.
  • Use LLMs and data science techniques to automate and improve efficiency in market analysis and economic research.
  • Create training materials, demos, and cheat-sheets to simplify the adoption of AI solutions for investment professionals.
  • Collect on-desk feedback to inform the development and refinement of internal data science products.
  • Research and pilot emerging LLM techniques and machine learning methods relevant to fixed income instruments.

What we're looking for

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or equivalent work experience.
  • Advanced degrees are preferred.
  • Required academic training in computer science, statistics, and data science techniques including machine learning methods.
  • Academic training in generative AI techniques and macroeconomic or Fixed Income analysis (preferred).
  • 3+ years of professional software development experience, ideally with LLM-based and data science solutions.
  • Proficiency in Python, ML packages, Docker, Kubernetes, and cloud platforms like AWS.
  • Strong understanding of software engineering best practices, CI/CD, and infrastructure as code.
  • Experience with macroeconomic or Fixed Income data and production-grade AI systems (preferred).

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