High-Performance Algorithmic Trader

2 days ago

Rajahmundry, Andhra Pradesh, India beBeeAlgorithm Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Systematic Trading Role

We are seeking skilled traders who can develop and implement quantitative trading strategies across equities and derivatives.

Key Responsibilities:
  • Strategy Development: Create and optimize systematic trading algorithms to achieve maximum returns.
  • Back Testing and Analysis: Conduct thorough back testing and statistical analysis of trading models to identify areas for improvement.
  • Real-Time Monitoring: Monitor real-time trading performance and risk metrics to ensure optimal decision-making.
  • Risk Management: Implement risk management protocols and position sizing methodologies to minimize losses.
  • Infrastructure Enhancement: Collaborate with our technology team to enhance trading infrastructure and stay ahead of the competition.
  • Documentation: Maintain detailed documentation of trading strategies and performance to facilitate knowledge sharing and continuous improvement.
Requirements:
  • Proven Track Record: Demonstrate a proven track record in systematic/algorithmic trading with verifiable results.
  • Quantitative Finance Expertise: Possess a deep understanding of quantitative finance, statistical modeling, and risk management principles.
  • Market Microstructure Knowledge: Have experience with market microstructure, execution algorithms, and latency optimization techniques.
  • Educational Background: Hold a Bachelor's degree in Finance, Mathematics, Computer Science, Physics, or related field.
  • Professional Experience: Preference given to candidates with professional experience at hedge funds, prop trading firms, or investment banks.
Benefits:
  • Profit Sharing: Enjoy profit sharing up to 70% for established track records.
  • Flexibility: Benefit from flexible remote work arrangements and a state-of-the-art trading infrastructure.
  • Continuous Learning: Engage in professional development opportunities and a continuous learning environment.

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