Data-Driven Trading Expert

7 days ago

Amrāvati, Maharashtra, India beBeeQuantitative Full time ₹ 6,00,000 - ₹ 10,00,000

Unlock Your Potential in Quantitative Trading

We are a dynamic team developing innovative solutions to make life easier and more profitable for digital asset traders and researchers.

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.

As a Quantitative Trading professional, you'll have the opportunity to work closely with other researchers, engineers, and product managers and report directly to the Head of Research.

Key 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.

Success Factors:

  • Curiosity and Resourcefulness: We believe in building strong, talented teams where natural aptitude, individual capability, and resourcefulness thrive.
  • Team Player: We value teamwork and believe that collaboration is key to success.
  • Integrity and Growth Mindset: We're looking for professionals who defend their positions with passion, but also maintain a bias toward 'doing right' rather than 'being right.'

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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