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XHOU - Quantitative Associate - NYC

Balyasny Asset Management LP Dubaï, Émirats Arabes Unis
Mise en ligne il y a 19 jours CDI Competitive

XHOU - Quantitative Associate - NYC

Balyasny Asset Management LP Dubaï, Émirats Arabes Unis
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
Référence  REQ7211
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