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Quantitative Analyst

augmentjobs
New York City, NY, United States
Full-time
Quick Apply

Job Description :

As a Quantitative Analyst, you will be responsible for developing and implementing mathematical models and statistical techniques to analyze financial data and solve complex problems.

You will work closely with the quantitative research team to develop trading strategies, risk models, and investment algorithms.

Your responsibilities will include :

  • Designing and implementing quantitative models to analyze financial markets, identify trading opportunities, and manage risk.
  • Conducting statistical analysis and back-testing of trading strategies to evaluate their effectiveness and performance.
  • Collaborating with traders, portfolio managers, and other stakeholders to understand their requirements and develop customized solutions.
  • Researching and staying abreast of developments in quantitative finance, including new methodologies, data sources, and technologies.
  • Building and maintaining databases of financial data and other relevant information for analysis.
  • Providing insights and recommendations based on quantitative analysis to support decision-making processes.

Requirements :

  • Master's or Ph.D. in quantitative finance, mathematics, statistics, computer science, or a related field.
  • Strong mathematical and statistical skills, with proficiency in programming languages such as Python, R, or MATLAB.
  • Knowledge of financial markets, instruments, and trading strategies.
  • Experience with quantitative modeling techniques such as time series analysis, machine learning, and optimization.
  • Familiarity with risk management principles and methodologies.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Attention to detail and a commitment to producing high-quality work.
  • 30+ days ago
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