Quantitative Software Engineer

1 week ago


Long Island City, United States Verition Fund Management LLC Full time
Company Overview:
Verition Fund Management LLC is a distinguished multi-strategy hedge fund established in 2008, managing assets totaling approximately $8.7 billion.

Position Overview:
This opportunity lies within the Quant Strategies Group, where you will engage with a premier quant trading team. As a Quantitative Developer, you will gain comprehensive exposure to various facets of the business, including data acquisition, high-performance computing, feature engineering, portfolio management, risk assessment, live trade execution, and post-trade evaluation.

Key Responsibilities:
  • Design and implement a range of Python-based tools essential for trading analysis, research, and risk management.
  • Ensure the reliability of the data management pipeline and the integrity of the data, proactively identifying and resolving data-related issues.
  • Provide continuous maintenance, support, and enhancements for existing systems and platforms.
  • Maintain regular communication with team leadership.
  • Collaborate across departments with internal technology and data teams, researchers, traders, and external partners.
  • Uphold the confidentiality of team information and adhere to business sensitivity protocols.
  • Stay informed about market developments and academic research to refine and adapt trading strategies.
  • Utilize machine learning and advanced methodologies to improve predictive capabilities.

Qualifications:
  • 1-3 years of experience in Python programming, with a focus on libraries pertinent to data analysis and machine learning.
  • A solid foundation in data structures, algorithms, and object-oriented programming principles.
  • A degree in Computer Science or a related STEM field is preferred.
  • Experience with AWS or other cloud computing technologies is advantageous.
  • Exceptional analytical skills coupled with a strong problem-solving approach.
  • Strong communication abilities to effectively engage with traders and team members.
  • Familiarity with additional object-oriented programming languages such as C++ or Java is beneficial.
  • Knowledge of machine learning and AI applications in trading is a plus.


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