Principal Quant Engineer

Responsibilities

• Design and implement quant tooling that supports signal construction and evaluation workflows
• Lead AI-centric development of core platform capabilities for signal computation and distributed execution
• Incorporate machine learning and AI techniques into signal construction and parameter estimation
• Provide architectural leadership to improve robustness, transparency, and scalability of research workflows
• Collaborate with data and platform teams to streamline access to market and alternative datasets
• Contribute to end-to-end machine learning lifecycle capabilities including experiment tracking and model management

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field
• 7+ years of experience in software engineering supporting quantitative research or systematic investing
• Experience building and operating quantitative platforms at scale
• Strong proficiency in Python and modern data processing tools like Polars
• Familiarity with machine learning and AI-assisted development techniques
• Solid understanding of system design concepts

About the Company

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, we manage over $195 billion on behalf of leading institutions worldwide.