Crypto Trader Youth4 Talent Solutions

The Corporate Institute; Kolkata District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

The Corporate Institute in India seeks a Crypto Trader to design and implement algorithmic trading strategies using real-time data and mathematical models. You will focus on high-frequency trading, risk assessment, and portfolio optimization on NSE for stocks, indices, and commodities.

The ideal candidate has 2–4 years of live HFT experience, a CS or Mathematics degree, and strong programming skills in C++ or Python.

Qualifications

• 2-4 years of hands-on HFT experience in live trading.
• Degree in Computer Science or Mathematics from a renowned institute.
• Proficiency in C++ or Python for quantitative models.
• Strong understanding of market microstructure and order books.
• Familiarity with ML/AI in financial modeling.
• Ability to develop, test, and customize proprietary trading models.

Responsibilities

• Identify, develop, and implement algorithmic trading strategies based on mathematical models.
• Participate in directional high-frequency trading, optional spread trading, volatility trading, and option market making on NSE.
• Manage futures & options portfolios with high Sharpe Ratio.
• Design and implement trading algorithms using real-time data and perform risk analysis.
• Monitor strategies and optimize profitability through adjustments.

Skills

Market microstructure knowledge

HFT experience

Machine learning in finance

Programming in C++/Python

Financial derivatives knowledge

Model development & testing

Education

Degree in CS 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