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Quantitative Researcher, Systematic Equities

Balyasny Asset Management L.P.

New York (NY)

On-site

USD 150,000 - 250,000

Full time

6 days ago
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Job summary

A leading asset management firm is seeking a Quantitative Researcher for their New York office. This role involves researching statistical arbitrage investment signals while collaborating with a team on coding and production processes. Candidates should possess a strong quantitative background, Python skills, and relevant experience in equity research.

Qualifications

  • 2+ years experience as a Quantitative Researcher.
  • Experience conducting alpha research for mid-frequency US equities.
  • Strong Python programming skills.

Responsibilities

  • Research on mid-frequency equities investment signals using diverse data.
  • Contribute to team codebase and production processes.

Skills

Quantitative and statistical intuition
Python programming

Education

Postgraduate degree in Computer Science, Mathematics, Statistics, Physics, or similar STEM field

Job description

Quantitative Researcher, Systematic Equities - New York

New York

Posted 96 Days Ago

Quantitative Researcher - Systematic Equities

New York, New York

Role:

  • Quantitative researcher on an equities statistical arbitrage investment team.
  • Perform research on mid-frequency equities investment signals driven by alternative, fundamental, and technical data.
  • Contribute to the team's codebase and research and production processes.

Qualifications:

  • 2+ years experience working as a Quantitative Researcher on a quantitative equity investment team
  • Experience conducting alpha research for mid-frequency US equities
  • Postgraduate degree in Computer Science, Mathematics, Statistics, Physics, or similar STEM field
  • Strong quantitative and statistical intuition
  • Exceptional Python programming skills

With respect to NY, CA, and IL based applicants, the starting base pay range for this role is between $150000 and $250000 annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands. This role may also be eligible for bonus compensation and employee benefits.

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