Crypto Trader Youth4 Talent Solutions

The Corporate Institute; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

C++

Python

ML in finance

Education

Degree in Computer Science or Mathematics

Job description

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