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Quantitative Trader

Quantitative Trader

Quantizer ResearchDelhi, India, India
4 days ago
Job description

About the Role

The primary focus of this role is to design, implement, and analyze algorithms based on mathematical or statistical models to facilitate decision-making in the financial markets. We are looking for candidates with strong coding expertise in both C++ and Python, who are currently running live strategies in their present role.

What will you do

  • 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.

What will you bring

  • Proven experience of successfully running strategies in a live trading environment.
  • Strong coding skills in both C++ and Python with the ability to build robust, low-latency, and scalable systems.
  • Deep understanding of market microstructure and order book in HFT setup
  • 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.
  • Familiarity with machine learning and AI in financial modeling
  • 4-5 years of hands-on experience in a live High-Frequency Trading (HFT) environment
  • Degree in Computer Science or Mathematics from a renowned institute
  • Perks & Benefits

  • Competitive compensation and excellent bonus programs
  • Comprehensive health insurance coverage for employees and their families
  • Annual Extravaganza
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