Lead Quant PM: Systematic Equity Alpha Trader

Trinity Search Limited

Hong Kong

On-site

HKD 1,800,000 - 3,000,000

Full time

14 days+

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Job summary

Trinity Search Limited is seeking a highly skilled Quant PM to lead systematic equity strategies and own the full investment process from research to execution and risk management. In this role you will focus on alpha generation and scalable live portfolios.

You will develop and improve alpha signals using diverse datasets and collaborate with quantitative researchers, developers and trading infrastructure teams to optimise portfolios and implement market-neutral and long-short strategies.

Qualifications

  • Experience as a Quant PM, Senior Quant Researcher or systematic equity trader with meaningful ownership of P&L.
  • Strong quantitative background in statistics, machine learning, optimisation or related disciplines.
  • Demonstrated ability to generate differentiated alpha and translate research into scalable live portfolios.

Responsibilities

  • Develop and improve alpha signals using fundamental, alternative, market and behavioural datasets.
  • Own the full investment process from research and signal generation through portfolio construction, execution and risk management.
  • Optimise portfolios for factor exposure, turnover, liquidity, transaction costs and capacity.
  • Work closely with quantitative researchers, developers and trading infrastructure teams.
  • Collaborate on Market Neutral, Index Enhancement, and Quantitative Stock Selection / Long-Short strategies.

Skills

Quant PM
Senior Quant Researcher
Systematic trading
P&L ownership
Alpha generation
Portfolio construction
Statistics
Machine learning
Optimization
Live portfolios

Job description

Trinity Search Limited is seeking a highly skilled Quant PM to lead systematic equity strategies and own the full investment process from research to execution and risk management. In this role you will focus on alpha generation and scalable live portfolios.

You will develop and improve alpha signals using diverse datasets and collaborate with quantitative researchers, developers and trading infrastructure teams to optimise portfolios and implement market-neutral and long-short strategies.

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