Quant jobs / Balyasny Asset Management

Senior Quantitative Researcher, PM Engagement - Equities

PM Engagement advises equity long/short managers on portfolio construction and investment performance. The researcher develops analytics and turns results into practical changes to risk-taking and portfolio design.

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 equity portfolio risk and return attribution
Research factor exposures and investment-process differences
Discuss findings and hedging choices with portfolio managers
Coordinate data and analytics projects with other research teams

What they ask for

Required

Seven or more years in equity portfolio analytics
At least two years directly engaging with risk takers
Advanced Python research
SQL and API data access
Statistics and probability
Persuasive technical communication

Preferred

Postgraduate qualification or CFA
Cloud or web dashboards

Education: Bachelor qualification in a quantitative subject; postgraduate study or CFA is advantageous.
Experience: 7+ years in equity long/short or alternative equity analytics, including 2+ years with risk takers.
Languages and tools: Python
SQL
Markets: equities

How to prepare

Present an equity portfolio attribution with defensible factor assumptions
Show how an analytical result changes a hedging decision
Prepare a research example that led to an investment-process improvement

What to study

The Portfolio and Factor Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

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.