Senior Quantitative Researcher, PM Analytics & Risk

Balyasny Asset Management L.P.; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Balyasny Asset Management L.P. in New York seeks a Senior Quantitative Researcher for PM Engagement.

You will develop models for portfolio construction, risk, and attribution, and serve as an expert advisor to Portfolio Managers and senior leadership of the Equity business. The role requires advanced quantitative abilities, strong analytical skills, and the ability to explain complex concepts to investment professionals.

Qualifications

• 7+ years of experience in equity Long/Short or alternative equity strategies with risk/portfolio analytics.
• Proven Python skills, including production-grade research.
• Experience with SQL and APIs for data access.
• Strong communication and ability to influence and educate portfolio managers.
• Background in quantitative research and investing with exposure to portfolio construction/risk for equity strategies.

Responsibilities

• Research: develop models for investment process, portfolio construction, risk and attribution.
• Advising: communicate insights clearly to Portfolio Managers and senior management; guide use of tools and analytics.
• Project Ownership: lead cross-team collaborations to deliver analytics tools and improve profitability.
• Other: respond to analytical questions and promote best practices in risk management and factor modeling.

Skills

Python

SQL

APIs

communication/presentation skills

quantitative research & investing

Education

B.S. in Engineering/Physics/Statistics/Applied Math/CS

CFA / M.S. / Ph.D. (plus)

Job description

Balyasny Asset Management L.P. in New York seeks a Senior Quantitative Researcher for PM Engagement.

You will develop models for portfolio construction, risk, and attribution, and serve as an expert advisor to Portfolio Managers and senior leadership of the Equity business. The role requires advanced quantitative abilities, strong analytical skills, and the ability to explain complex concepts to investment professionals.