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Quantitative Trader

Quantitative Trader

Nuvama GroupMumbai, India
6 days ago
Job description

About the Role

We are looking for an experienced Quantitative Trader to join our trading team and contribute to the development and management of alpha-generating strategies across asset classes. The ideal candidate has a solid track record in quantitative or semi-systematic trading, a deep understanding of market microstructure, and experience working with or alongside large portfolio managers or proprietary trading teams.

You will be responsible for researching, implementing, and optimizing trading strategies, managing risk, and continuously refining performance through data-driven insights.

Key Responsibilities

  • Research, develop, and execute systematic or semi-systematic trading strategies in cash, derivatives, or cross-asset markets.
  • Manage and optimize existing strategy portfolios with focus on performance consistency, drawdown control, and scalability.
  • Analyze trading performance and risk metrics to identify areas for improvement.
  • Collaborate with researchers, data scientists, and technology teams to improve execution, data infrastructure, and signal generation.
  • Explore and test new alpha ideas, trading signals, and market opportunities.
  • Maintain awareness of market trends, liquidity, and volatility dynamics across relevant instruments.

What We’re Looking For

  • 3–6 years of experience in quantitative or algorithmic trading, ideally on a prop desk, hedge fund, or institutional trading team.
  • Proven experience in strategy research, execution, and risk management.
  • Strong quantitative and analytical skills, with a foundation in statistics, probability, and optimization.
  • Proficiency in Python, C++, or any high-performance language for research and execution.
  • Comfort working with large datasets, market data APIs, and backtesting frameworks.
  • Collaborative mindset and ability to interface with both technical and trading teams.
  • Preferred Background

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or related quantitative field.
  • Prior experience managing or co-managing a P&L-driven trading book.
  • Familiarity with equities, futures, options, or statistical arbitrage.
  • Experience with strategy automation, portfolio construction, or execution algorithms is a plus.
  • What We Offer

  • Opportunity to work closely with experienced traders and portfolio managers.
  • Access to institutional-grade infrastructure, research tools, and data.
  • Flat, meritocratic structure with high autonomy.
  • Competitive fixed compensation and performance-linked incentives.
  • A collaborative environment that values innovation, discipline, and long-term alpha generation.
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