Quantitative Developer

Quantitative Developer / Software Engineer

Location: New York

A leading global hedge fund is seeking a talented entrepreneurial Quantitative Developer to join alongside a super successful Portfolio Manager in a collaborative quantitative trading pod. This is a hands-on role at the intersection of technology, data, research, and trading, with direct exposure to the Senior Portfolio Manager and investment process.

The role spans the full systematic trading stack, with a particular focus on research infrastructure, data systems, signal deployment, and production monitoring. The successful candidate will play a key role in enabling systematic research, scaling investment capabilities, and supporting the transition of strategies from research into live trading within a fast-paced, collaborative investment environment.

Key Responsibilities:

• Own and continuously improve the team’s research platform, including the backtesting framework, simulation environments, and caching / compute layers
• Build and maintain tooling that enables the researchers to develop, test, and deploy signals efficiently
• Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
• Design, organize, and maintain large-scale datasets and data pipelines used across research and production
• Optimize and support the team’s interfaces with central and external systems, including execution, risk monitoring, and compute / resource management
• Help productionize and monitor trading signals, ensuring robustness, observability, and operational reliability
• Partner closely with the SPM to translate research needs into scalable engineering solutions

Requirements:

• Proven experience (2-3 years minimum) in a Quantitative Developer, Software Engineering or related role within a hedge fund, prop trading firm, or similar systematic trading environment
• Advanced degree in a STEM discipline from a top university
• Strong understanding of quantitative research workflows and monetization frameworks.
• Experience working with market data, trading systems, and distributed computing infrastructure
• Excellent problem-solving, analytical, and software development skills
• Strong communication skills with the ability to work directly with investment teams and senior stakeholders
• Ability to thrive in a fast-paced, front-office environment

For more information contact:

Elaine Bunyan - [email protected]