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Financial Quantitative Analyst

2 months ago

Austin, Texas, United States augmentjobs Full time
Job Description

Position: Quantitative Researcher

Overview: The Quantitative Researcher is tasked with the creation and execution of quantitative models aimed at analyzing financial markets, evaluating risks, and enhancing investment strategies. This position requires extensive research, analysis of substantial datasets, and collaboration with portfolio managers and various teams to guide informed decision-making. The ideal candidate will possess a robust foundation in quantitative analysis, programming expertise, and a keen interest in financial markets.

Key Responsibilities:

  • Design and execute quantitative models for the analysis of financial markets, risk evaluation, and development of investment strategies.
  • Conduct thorough research on financial markets, including the exploration of novel data sources and the formulation of predictive models.
  • Utilize statistical and machine learning methodologies to analyze large datasets, identifying trends, patterns, and anomalies.
  • Work in conjunction with portfolio managers, traders, and other teams to leverage quantitative insights for investment decisions.
  • Backtest and validate quantitative models to ensure their precision and dependability.
  • Continuously monitor and refine existing models to adapt to evolving market conditions and maintain effectiveness.
  • Prepare and present research outcomes, model results, and recommendations to relevant stakeholders.
  • Remain informed about the latest advancements in quantitative finance, data science, and financial markets.

Qualifications:

  • Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Finance.
  • 2-4 years of experience in quantitative research, financial modeling, or a related field.
  • Proficient programming skills in languages such as Python, R, MATLAB, or C++.
  • In-depth knowledge of statistical methods, machine learning techniques, and data analysis.
  • Experience handling large datasets and familiarity with data management tools and techniques.
  • Exceptional problem-solving abilities and a critical approach to complex issues.
  • Strong communication skills, capable of conveying technical concepts to non-technical audiences.
  • Understanding of financial markets, trading strategies, and risk management practices is advantageous.