Quantitative Analyst

1 month ago


Austin, United States augmentjobs Full time
Job DescriptionJob DescriptionJob Title: Quantitative Analyst Job Summary:

The Quantitative Analyst will leverage mathematical models, statistical techniques, and data analysis to support trading strategies, risk management, and financial decision-making. This role involves working closely with trading teams and financial engineers to develop, implement, and refine quantitative models that drive investment strategies and optimize financial performance.

Responsibilities:
  • Develop and implement quantitative models to support trading strategies and risk management.
  • Analyze large datasets to identify trends, correlations, and patterns in financial markets.
  • Collaborate with traders and portfolio managers to refine and optimize investment strategies.
  • Perform back-testing and stress-testing of quantitative models to ensure robustness.
  • Monitor and analyze market data in real-time to support trading decisions.
  • Enhance existing models by incorporating new data sources and advanced statistical techniques.
  • Assist in the development of proprietary trading algorithms and automated systems.
  • Provide detailed analysis and reports on model performance and investment outcomes.
  • Ensure compliance with regulatory standards and internal risk management policies.
  • Stay updated with the latest developments in quantitative finance, statistical methods, and market trends.
Qualifications:
  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
  • 2-4 years of experience in quantitative analysis, financial modeling, or algorithmic trading.
  • Strong proficiency in programming languages (e.g., Python, R, MATLAB, C++).
  • Expertise in statistical modeling, machine learning, and data analysis techniques.
  • Familiarity with financial markets, trading platforms, and risk management practices.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a fast-paced, high-pressure environment.
  • Strong communication skills, with the ability to explain complex models to non-technical stakeholders.
  • Experience with back-testing frameworks and quantitative research tools.
  • Professional certifications (e.g., CQF) are a plus.


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