Data-Driven Trader

1 day ago


Madurai, Tamil Nadu, India beBeeQuantitative Full time ₹ 40,00,000 - ₹ 80,00,000
Job Overview

We are seeking a highly motivated and detail-oriented Quantitative Trading Intern to join our dynamic team.

The ideal candidate will have experience or a strong interest in trading, market microstructure, and quantitative methods.

This internship will provide hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

You will work closely with other researchers, engineers, and product managers, reporting directly to the Head of Research.

This is an excellent opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.

Responsibilities
  • 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.
About Us

We develop solutions that make life easier and more profitable for digital asset traders and researchers.

We do so primarily by increasing transparency, boosting speed, and placing decisions in the hands of users.

Our infrastructure is built with performance, flexibility, and reliability in mind, leveraging technologies across Python, C++, and cloud-based systems.

This is an exciting time for us as we onboard clients and rapidly build out our solutions to meet their needs.



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