Crypto Trader Youth4 Talent Solutions

The Corporate Institute

Gurugram District

Vor Ort

INR 800.000 - 1.200.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

The Corporate Institute is seeking a Crypto Trader to develop and implement algorithmic trading strategies using real-time data and mathematical models. You will participate in HFT on NSE and manage portfolios with risk controls to optimize profitability.

The ideal candidate has 2-4 years of hands-on HFT experience, a degree in Computer Science or Mathematics, and strong proficiency in C++ or Python to implement quantitative models and apply derivatives theory to crypto markets.

Qualifikationen

  • 2-4 years of hands-on experience in a live High-Frequency Trading (HFT) environment.
  • Degree in Computer Science or Mathematics from a renowned institute.
  • Proficiency in C++ or Python to efficiently implement quantitative models.
  • Deep understanding of market microstructure and order book in HFT setup.
  • Familiarity with ML and AI in financial modeling.

Aufgaben

  • Identify, develop, and implement algorithmic trading strategies based on sophisticated mathematical models.
  • Get involved in directional high-frequency trading (HFT), optional spread trading, volatility trading, and option market making on NSE.
  • Manage future & options portfolios with a consistently high Sharpe Ratio.
  • Design and implement trading algorithms using real-time data, analyze market structure, and conduct risk analysis.
  • Monitor trading strategies and performance metrics, making necessary adjustments to optimize profitability.

Kenntnisse

C++
Python
ML in finance

Ausbildung

Degree in Computer Science or Mathematics

Jobbeschreibung

Crypto Trader
Job Description:
  • Identify, develop, and implement algorithmic trading strategies based on sophisticated mathematical models.
  • Get involved in directional high-frequency trading (HFT), optional spread trading, volatility trading, and option market making, particularly on the National Stock Exchange (NSE) for single stocks, index, and commodities.
  • Manage future & options portfolios with a consistently high Sharpe Ratio.
  • Design and implement trading algorithms using real-time data, analyze market structure, and conduct risk analysis.
  • Monitor trading strategies and performance metrics, making necessary adjustments to optimize profitability.
Keywords:
  • Deep understanding of market microstructure and order book in HFT setup
  • Familiarity with machine learning and AI in financial modeling
  • 2-4 years of hands-on experience in a live High-Frequency Trading (HFT) environment
  • Degree in Computer Science or Mathematics from a renowned institute
  • Proficiency in at least one major programming language, such as C++ or Python, to efficiently implement and execute quantitative models
  • Keen interest and In-depth knowledge of financial markets and derivatives theory
  • Ability to create, test, monitor, and troubleshoot proprietary trading models, as well as customize existing models to align with specific requirements
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