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Senior Quantitative Researcher, Treasury

Balyasny Asset Management LP
New York, NY Full Time
POSTED ON 4/13/2025
AVAILABLE BEFORE 5/9/2025

Senior Quantitative Researcher - Treasury

The Treasury Quant team at Balyasny Asset Management is expanding, and we are looking for a Senior Quantitative Researcher. The Treasury Quant team is responsible for firm-wide portfolio construction, globally, across all asset classes, aimed at minimizing margin, and contributing to maximizing the Firm's liquidity buffer.

The Quantitative Researcher will :

  • Develop and implement internally consistent risk-based models for margin allocation and optimization, across all asset classes
  • Constantly review and upgrade margin allocation models.
  • Design and implement margin optimization processes for different asset classes
  • Enhance the analytics suite used by the treasury team to measure and manage capital utilization and allocation
  • Analyze and approximate various house and reg margin methodologies, including cross-margin
  • Collaborate with the risk team to leverage their offering for margin methodologies
  • Create risk-based explain tools for margin allocation and drivers
  • Work with Portfolio Managers and Business Leaders to refine margin attribution models
  • Help expand product coverage and methodologies used for various margin calculators and treasury specific analytics tools for efficient capital deployment
  • Expand the quantitative framework for managing the firm's liquidity, cash and collateral deployment
  • Design, prototype, test, and implement risk-based margin models

Qualifications and Requirements :

  • STEM PhD or MS degree
  • Hands on experience solving optimization problems and in depth experience with at least 1 optimization engine - Mosek preferred. Real life optimization implementation expertise.
  • Extensive experience working as a Quant Researcher in a front office, treasury and / or risk team
  • In depth modeling experience
  • Excellent hands-on programming skills in Python (including numpy, scipy, Pandas)
  • Expected to deliver asset specific allocation and optimization libraries in Python
  • In depth knowledge and experience in Equities, Credit and / or Commodities
  • Direct involvement in building a margin methodology is preferred
  • Ability to work on several projects simultaneously
  • Innovative, flexible, open approach to solving real-life problems
  • Experience with being responsible for projects spanning several teams (PMs, risk, IT, etc)
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