Quantitative Trader

7 days ago

Mumbai, Maharashtra, India Nuvama Group Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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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