Macro AI Engineer
The macro AI engineer embeds with rates, FX and credit investment teams. The role builds production analytical workflows and helps users apply the firm’s AI platform to investment questions.
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.
- Convert desk requirements into working AI applications
- Integrate financial data into research workflows
- Evaluate new language-model methods on investment tasks
- Demonstrate tools and return user feedback to platform teams
What they ask for
Required
- Three or more years of software delivery
- Python and machine-learning libraries
- Macro or fixed-income data experience
- Container and cloud familiarity
- Production engineering practices
- Communication with investment users
Preferred
- Production LLM applications
- Retrieval or graph databases
- AI agent systems
- Education
- Master study in computing, statistics, data science, economics, finance or maths, or equivalent work experience.
- Experience
- 3+ years in professional software development.
- Languages and tools
- Markets
- fixed-income, fx, credit
How to prepare
- Build an evaluated AI workflow over macro data and documents
- Demonstrate reproducible data integration for a rates question
- Explain model limitations to a nontechnical portfolio manager
What to study
The NLP and ML Quant Researcher 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.