Quantitative Trader - Executive Director

Aumni

Aumni

New York, NY, USA
Posted on Aug 14, 2024

Job Description

Position Summary:

As a highly skilled Quantitative Trader for the Americas Rates team, you will possess a strong foundation in mathematics, statistics, and computer science, coupled with a deep understanding of financial markets. This role involves developing, testing, and implementing quantitative trading strategies, while managing risk and maximizing returns.

Job Responsibilities:

  • Develop and implement quantitative trading models, algorithms, and strategies.
  • Conduct in-depth research and analysis of financial markets, instruments, and data.
  • Backtest and optimize trading strategies using historical data and advanced statistical techniques.
  • Collaborate with the development team to build and maintain trading systems.
  • Monitor market conditions and adjust trading strategies accordingly.
  • Perform risk analysis and implement risk management procedures.
  • Contribute to the development of new trading ideas and research initiatives.

Required qualifications, capabilities and skills:

  • Advanced degree in mathematics, statistics, computer science, or a related field.
  • Strong programming skills in Python, C++, or similar languages.
  • In-depth knowledge of statistical modeling, machine learning, and optimization techniques.
  • Proven experience in quantitative trading or financial modeling.
  • Strong understanding of financial markets, instruments, and derivatives.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Minimum of 3 years of demonstrated experience in generating of trading signal with proven pnl targets

Preferred qualifications, capabilities and skills:

  • Experience with high-frequency trading or algorithmic trading.
  • Knowledge of financial databases and data management tools.
  • Experience with cloud computing platforms (e.g., AWS, GCP).
  • Proficiency in financial software packages (e.g., MATLAB, R, Python libraries).