Long Short Trader

3 days ago

Mumbai, India Neo Wealth and Asset Management Full time

Position: Long-Short Trader

Summary:

Neo is seeking seasoned Long-Short Equity Traders with a proven track record of managing their own books and delivering consistent, risk-adjusted alpha . This role is designed for traders looking to scale their strategies within an institutional platform while retaining autonomy in decision-making.

Key Responsibilities

  • Run and scale your book : Manage long and short equity positions with capital efficiency, risk discipline, and return optimization.
  • Alpha generation : Deploy and refine trading strategies (quantitative, technical, fundamental, thematic, or hybrid) to consistently deliver superior risk-adjusted returns .
  • Quantitative / Market Neutral :

Strong background in statistical modeling, factor research, and systematic trading.

Experience in market-neutral and relative value strategies.

  • Technical / Discretionary :

Proficiency in charting, trend analysis, and short-term market timing.

Proven success in managing directional long/short portfolios.

  • Fundamental / Thematic :

Deep research capability across industries and sectors.

Ability to identify structural long-term themes and asymmetric opportunities.

  • Risk Management :

Implement disciplined risk controls, hedging strategies, and position sizing.

Adjust portfolio exposures dynamically to market conditions.

  • Performance Tracking :

Report P&L alongside risk metrics (e.g., Sharpe, Sortino, drawdown profile) .

Continuously refine strategies through post-trade and factor analysis.

  • Collaboration :

Work with the broader team to share insights, co-develop strategies, and leverage the firm’s infrastructure.

Qualifications

  • Demonstrable track record of generating strong risk-adjusted returns while profitably running a trading book (individually or at a fund/prop desk).
  • Degree in engineering, CA, CFA, MBA, or a graduate degree in finance, economics, or related field (preferred, not mandatory for strong performers).
  • Strong analytical and research skills across fundamental, quantitative, or technical domains .
  • Familiarity with algorithmic execution, data-driven decision-making, and trading platforms.
  • Ability to operate with autonomy and accountability.

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