Cryptocurrency Trading Specialist

2 days ago

Mysore, Karnataka, India beBeeQuantitative Full time US$ 1,00,000 - US$ 1,50,000
Quantitative Trader

We are looking for a skilled and experienced Quantitative Trader to join our dynamic team. This role offers the opportunity to work with cutting-edge technology, analyze complex data sets, and develop innovative trading strategies.

The ideal candidate will have a strong foundation in mathematics, statistics, or econometrics, as well as programming experience in Python, R, MATLAB, or related tools. A bachelor's or master's degree in a quantitative field is required.

  • 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.

Success Factors:

  • Passionate about learning and growing within a dynamic startup environment.
  • Strong analytical and problem-solving skills.
  • Clear communication and ability to present research findings effectively.

What We Offer

A chance to gain practical experience in the fast-paced world of fintech and cryptocurrency trading. The opportunity to work closely with other researchers, engineers, and product managers. Collaborative environment that fosters growth and development.

Qualifications:

  • 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.

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