Quantitative Research Assistant

1 week ago

Mangalore, Karnataka, India beBeeTrading Full time ₹ 9,00,000 - ₹ 11,00,000
Job Opportunity:

We are seeking a highly motivated Quantitative Trading Intern to join our team.

This is an exciting opportunity to gain hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

  • Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.
  • Develop and backtest algorithmic trading strategies using quantitative methods.
  • Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.
  • Create research reports and visualizations to communicate findings to stakeholders.
  • Collaborate with engineers to integrate research into production trading systems.
  • Support the development of risk management and portfolio optimization models.
Requirements:
  • Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics).
  • Strong foundation in mathematics, statistics, or econometrics (e.g., probability, linear algebra, calculus).
  • Programming experience in Python, R, MATLAB, or related tools.
  • Familiarity with cryptocurrency markets and trading concepts.
  • Experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques.
  • Interest in time series analysis and algorithmic trading strategies.
  • Strong analytical and problem-solving skills.
  • Clear communication and ability to present research findings effectively.
What We Offer:
  • A dynamic startup environment with opportunities for growth and learning.
  • The chance to work with a talented team of researchers, engineers, and product managers.
  • Hands-on experience with cutting-edge technologies and tools.
  • The opportunity to contribute to real-world projects and make a tangible impact.
How to Apply:

If you're interested in this internship position, please apply through the platform where you found this job posting.

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