Data-Driven Trading Specialist

2 weeks ago

Vizag, Andhra Pradesh, India beBeeTrader Full time ₹ 60,00,000 - ₹ 1,50,00,000

About the Role:

We are seeking a skilled Quantitative Trader with expertise in trading, market microstructure, and quantitative methods. This role offers hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.

Quantitative Traders will work closely with other researchers, engineers, and product managers, reporting directly to the Head of Research. This is a great opportunity to gain practical experience in the fast-paced world of fintech and cryptocurrency trading.

Responsibilities:

  1. Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.
  2. Develop and backtest algorithmic trading strategies using quantitative methods.
  3. Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.
  4. Create research reports and visualizations to communicate findings to stakeholders.
  5. Collaborate with engineers to integrate research into production trading systems.
  6. Support the development of risk management and portfolio optimization models.

Success Factors:

We seek passionate, motivated individuals who are eager to learn and grow within a dynamic startup environment. Key attributes of a successful candidate include:

  • Currency and resourcefulness in employees.
  • Team players who can learn from each other and contribute to high-performing teams.
  • Individuals who defend their positions with passion but also maintain a bias toward 'doing right' rather than 'being right.'

Requirements:

To be successful in this role, you will need:

  • A Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics).
  • A 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.

How to Apply:

If you're interested in this position, please apply. Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand.

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