Senior Equity Stat Arb - Quantitative Researcher

Selby Jennings; Singapore; Sur place; SGD 140 000 - 210 000; Plein temps

Résumé du poste

Selby Jennings in Singapore is seeking a quantitative researcher to design and implement predictive models, develop alpha signals, and test strategies across global equities.

You will collaborate with portfolio managers, data engineers, and traders, analyze market microstructure, and continuously monitor live strategies to enhance profitability.

This role emphasizes rigorous statistical methods, large-scale data, and innovative research to shape platform direction.

Responsabilités

• Conduct original quantitative research to identify and develop profitable statistical arbitrage signals across global equities and related asset classes.
• Design, test, and implement predictive models using large-scale financial, alternative, and proprietary datasets.
• Develop robust alpha signals, risk models, and portfolio construction methodologies.
• Analyze market microstructure, transaction costs, and execution performance to improve strategy profitability.
• Collaborate closely with portfolio managers, quantitative developers, and data engineers to productionize research.
• Continuously monitor live strategies, perform performance attribution, and enhance existing models.
• Research new data sources and apply advanced statistical and machine learning techniques to extract investment insights.
• Contribute to the strategic direction of the platform through innovative research and thought leadership.

Description du poste

• Conduct original quantitative research to identify and develop profitable statistical arbitrage signals across global equities and related asset classes.
• Design, test, and implement predictive models using large-scale financial, alternative, and proprietary datasets.
• Develop robust alpha signals, risk models, and portfolio construction methodologies.
• Analyze market microstructure, transaction costs, and execution performance to improve strategy profitability.
• Collaborate closely with portfolio managers, quantitative developers, and data engineers to productionize research.
• Continuously monitor live strategies, perform performance attribution, and enhance existing models.
• Research new data sources and apply advanced statistical and machine learning techniques to extract investment insights.
• Contribute to the strategic direction of the platform through innovative research and thought leadership.