Quantitative Trader

About the Role

Quantitative Trader

researching, implementing, and optimizing trading strategies

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.