Execution Quant

IO Tech Solutions Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

IO Tech Solutions Limited in Hong Kong is seeking a senior quantitative researcher and software developer to research, design, and enhance trading algorithms with a focus on execution quality and market microstructure. You will collaborate with traders and electronic desks to translate research into practical, end-to-end algorithmic trading products.

The role combines advanced statistics and machine learning with hands-on coding in Python, with additional experience in q/kdb+ or C#.

Qualifications

• Senior: 3+ years in applied statistics, ML or algo trading.
• Junior: 12 years relevant experience.
• Strong Python skills and analytical mindset.

Responsibilities

• Research and optimize order placement, scheduling, and execution strategies.
• Analyze market microstructure and develop custom execution research.
• Develop and enhance algorithmic trading products end-to-end.
• Provide quantitative insights to support client execution strategies.
• Optimize algo wheel configurations and trading efficiency.
• Data mine trading activity to extract insights and improve performance.
• Collaborate with internal teams to implement research findings.

Skills

Python

Statistics

Machine learning

Algorithmic trading

Problem-solving

Tools

q/kdb+

C#

Job description

You will research, design, and enhance trading algorithms with a focus on execution quality, market microstructure, and client strategies. This role combines advanced quantitative research with hands‑on development, working closely with traders, electronic execution desks, and cross‑functional teams.

Key Responsibilities

• Research and optimize order placement, scheduling, and execution strategies.


• Analyze market microstructure and develop custom execution research.


• Develop and enhance algorithmic trading products end-to-end.


• Provide quantitative insights to support client execution strategies.


• Optimize algo wheel configurations and trading efficiency.


• Data mine trading activity to extract insights and improve performance.


• Collaborate with internal teams to implement research findings.

Requirements

• Senior: 3+ years experience in applied statistics, machine learning, or algorithmic trading.


• Junior: 12 years relevant experience


• Strong Python skills; experience in q/kdb+ or C# is a plus.


• Strong problem-solving ability and analytical mindset.

Preferred

• Experience in execution research, trading signals, or strategy development.


• Deep understanding of equity market microstructure.

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