Quantitative Strategist

Position Overview

A prominent hedge fund is looking for a skilled Quantitative Strategist specializing in equity microstructure and algorithmic trading research to join their systematic equities group. The role centers on the identification and development of high-Sharpe intra-day and short-term alpha signals derived from detailed order book dynamics, market microstructure intricacies, and execution data, directly impacting live trading and execution algorithms managing substantial capital.

Key Responsibilities

• Carry out comprehensive microstructure research employing tick-level and order book data to uncover predictive indicators related to liquidity dynamics, order flow imbalances, adverse selection, queue positioning, and short-term price formations.
• Design, research, and fine-tune intraday and short-horizon alpha signals suitable for systematic equity strategies and execution algorithms.
• Develop and improve algorithmic trading strategies, including passive order posting techniques, liquidity-seeking methods, optimal order sizing, models predicting volume surprises, and dynamic hedging schemes.
• Conduct thorough statistical analyses, backtesting, point-in-time validations, and transaction cost assessments ensuring robustness and scalability of signals and algorithms.
• Collaborate extensively with execution traders, portfolio managers, and software developers to transition research insights into operational trading systems.
• Maintain vigilant monitoring of strategy outcomes and adjust models to reflect changing market microstructure conditions.

Qualifications and Skills

• Possession of an advanced degree (MSc or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a closely related area.
• A minimum of three years of practical involvement in equity microstructure research or algorithmic trading strategy development, preferably within sell-side electronic trading, proprietary trading, or hedge fund environments.
• Proven expertise in extracting alpha signals from order book microstructure, tick data, and high-frequency market datasets.
• High proficiency in programming languages such as C++, C#, or Java.
• In-depth knowledge of market microstructure theories and applications.
• A demonstrable history of enhancing execution algorithms or formulating lucrative short-horizon trading signals.
• Capability to independently conduct research and simultaneously engage collaboratively within a fast-paced and results-oriented team environment.

Additional Information

This full-time position is located onsite in Singapore. The role carries significant influence on live trading strategies and demands continuous innovation and market adaptation.