Senior Quantitative Researcher, PM Engagement
Balyasny’s PM Engagement researchers help equity investors improve portfolio construction. This senior position develops risk and performance models and turns findings into practical investment guidance.
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.
- Model portfolio risk and return attribution.
- Investigate investment-process data.
- Coach managers using evidence from analytics.
What they ask for
Required
- Equity-strategy analysis
- Python
- SQL
- Statistical models
- Factor-model knowledge
- Investor communication
- Education
- Advanced quantitative study or practical application of quantitative-finance methods.
- Experience
- Five-plus relevant years, including two years directly engaging risk takers or taking investment risk.
- Languages and tools
- Markets
- equities
How to prepare
- Attribute equity performance to factors.
- Compare hedge and sizing choices.
- Explain a portfolio-construction recommendation.
What to study
- Portfolio Theory and Quantitative Investment
- Empirical Asset Pricing and Factor Investing
- Quantitative Risk Management
The Portfolio and Factor Quant 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.