
Long Short Trader
3 weeks ago
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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