Mathematical Market Analyst

2 days ago

Varanasi, Uttar Pradesh, India beBeeTrader Full time ₹ 80,00,000 - ₹ 1,70,00,000

Quantitative Trader Role

We are seeking a talented Quantitative Trader to join our team. This is an exciting opportunity to work in the fast-paced world of fintech and cryptocurrency trading.

The ideal candidate will have hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

As a Quantitative Trader, you will conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.

You will develop and backtest algorithmic trading strategies using quantitative methods and analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.

A Bachelor's or Master's degree in a quantitative field and strong foundation in mathematics, statistics, or econometrics are essential for this role.

Additionally, you should have programming experience in Python, R, MATLAB, or related tools and familiarity with cryptocurrency markets and trading concepts.

This role offers a great opportunity to gain practical experience in a dynamic startup environment and collaborate with engineers to integrate research into production trading systems.

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.
  • Strong analytical and problem-solving skills.
  • Clear communication and ability to present research findings effectively.

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