Quantitative Researcher

2 months ago


Singapur, Singapore Balyasny Asset Management L.P. Full time
Overview

We are seeking a highly skilled Quantitative Researcher to join our team at Balyasny Asset Management L.P. in Singapore. As a key member of our research team, you will be responsible for building and maintaining complex data models, conducting alpha research, and collaborating with our trading team to develop and implement quantitative strategies.

Responsibilities
  • Design and implement data-driven solutions to support our trading and research efforts
  • Conduct in-depth analysis of market data to identify trends and opportunities
  • Develop and maintain complex data models and algorithms to support our trading strategies
  • Collaborate with our trading team to develop and implement quantitative strategies
  • Stay up-to-date with the latest developments in quantitative finance and machine learning
Requirements
  • Bachelor's degree or advanced degree in Quantitative Finance, Finance, Economics, Mathematics, Engineering, or a related field
  • 0-3 years of experience in the finance sector, with a strong background in data analysis and machine learning
  • Proficiency in Python and experience with other programming languages
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively
  • Excellent communication and presentation skills, with the ability to effectively communicate complex ideas to both technical and non-technical stakeholders
Preferred Qualifications
  • Experience working with equity statistical arbitrage, algorithmic trading, execution, central risk book, and/or market microstructure
  • Machine learning related research projects or competition awards
  • Familiarity with other major programming languages, such as C++
What We Offer

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented individual who is passionate about quantitative finance and machine learning, we encourage you to apply for this exciting opportunity.



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