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XHOU - Quantitative Associate - NYC

Balyasny Asset Management LP Dubai, United Arab Emirates
Posted 1 day ago Permanent Competitive

XHOU - Quantitative Associate - NYC

Balyasny Asset Management LP Dubai, United Arab Emirates
XHOU - Quantitative Associate - NYC

Quantitative Researcher/Trader, Associate



New York




OVERVIEW



We are seeking a Quantitative Researcher/Trader to join one of our Systematic Portfolio Management teams. In this role, you will contribute to the development and execution of quantitative trading strategies and support ongoing research initiatives within the team.



You will have the chance to learn from experienced professionals in a collaborative and dynamic environment.




ROLE DESCRIPTION



As a Quant Trader, you will work in collaboration with one of our Systematic Portfolio Managers, focusing on Quantitative Event-Driven trading. Your responsibilities will encompass:





  • Designing and implementing statistical arbitrage trading strategies, including idea generation, strategy back-testing, and analysis

  • Developing and maintaining our portfolio risk models

  • Supporting the improvement of our Python-based systematic trading code base, upholding our standards of reliability and efficiency

  • Conducting end-of-day processes, including the organization of trade logs, recording daily P&L, and assisting with compliance procedures.

  • Ensuring the integrity of large-scale security data by performing rigorous cleaning, maintenance, and validation processes.

  • Contributing to ad hoc analytic projects, further expanding your financial and analytic knowledge

  • We will provide comprehensive training.




QUALIFICATIONS



  • Master's degree in Mathematics, Physics, or a related quantitative field from a top-ranking institution

  • Prior financial experience is not required but is considered a plus.

  • 1 to 5 years of experience in quantitative research, data analysis, or a related technical field

  • Excellent written and verbal communication skills in English

  • Strong analytical and modeling skills

  • Proficiency in Python and pandas

  • Exceptionally motivated, detail-oriented, hard-working, and of the highest integrity




BAM EMPLOYEE PERKS



  • Work in one of our beautiful offices: London, New York or Hong Kong

  • Daily access to BAM kitchen stocked with various, snacks, teas & coffees, soft drinks, etc.

  • Daily lunch delivery services provided by BAM

  • First-class fitness facility with showers and changing room facilities

Job ID  REQ7211
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