Quantitative Trader

2 days ago

Gurgaon, Haryana, India SKS Enterpprises - Human Resource Planning and Management Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position Name:
Quant Trader/Researcher

Location:
Gurgaon

Experience Range
: 3+years as a Quant Trader in Indian Market

Role Overview :

We are seeking a highly motivated and analytical Quantitative Trader to join our dynamic trading team. In this role, you will design, implement, and execute data-driven trading strategies across various asset classes under Indian Market. You'll work in a fast-paced, collaborative environment where creativity, precision, and agility are key.

Key Responsibilities:

  • Develop, backtest, and deploy algorithmic trading strategies using historical and real-time market data.
  • Monitor and manage the performance of live strategies; optimize and refine models based on results and market behavior.
  • Conduct in-depth quantitative research to discover alpha signals and improve existing models.
  • Collaborate with developers and researchers to enhance trading infrastructure, data pipelines, and execution systems.
  • Analyze risk and maintain robust risk management practices in all aspects of trading.
  • Stay updated with market trends, regulatory changes, and trading technologies.

Requirements:

  • Bachelor's, Master's, or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.
  • 3+ years of experience in a quantitative trading or research role (internships also considered for junior roles).
  • Experience with data analysis, statistical modeling, and backtesting frameworks.
  • Solid understanding of financial markets, trading instruments, and market microstructure.
  • Familiarity with tools such as Pandas, NumPy, scikit-learn, KDB+/q, or similar.
  • Excellent problem-solving skills, attention to detail, and ability to work under pressure.

Preferred Qualifications:

  • Experience in high-frequency or low-latency trading environments.
  • Knowledge of machine learning or deep learning techniques.
  • Exposure to Indian Markets
  • Familiarity with FIX protocol or working with trading APIs.

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