Quantitative AI Engineer at AXQ Capital

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Job Duties 

As a Quantitative AI Engineer, you will build the next generation of agentic AI research infrastructure. Working closely with our quantitative research team, you will push the frontiers of modern AI — with the rare advantage of real financial market feedback as your ground truth.

• Design and build a multi-agent framework for quantitative finance research
• Develop tools and deep integrations with AXQ's proprietary research infrastructure
• Research frontier model capabilities and develop rigorous agentic evaluations
• Partner with quantitative researchers to create best-in-class system observability, well-grounded research pipelines, and novel research ideation methods
• High-performing candidates may also contribute directly to model work, including post-training

Qualifications

• 2+ years of experience in software engineering, machine learning, AI research, or a related role
• Bachelor's, Master's, or PhD from a top-tier university in a quantitative or technical discipline (mathematics, physics, statistics, computer science, or similar)
• Strong foundation in statistics and machine learning fundamentals
• Deep, practical knowledge of agentic systems, pre/post-training evaluations, or related AI engineering domains
• Prior experience in quantitative finance is not required
• Self-motivated and highly productive, with a strong sense of ownership and a bias toward action