Jobs at PDT Partners

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

Software Engineers at PDT develop and maintain trading systems, risk controls, and post-trade technologies while collaborating with users to meet requirements.

The Trading Operations Analyst monitors trading activities, ensures compliance with trading limits, analyzes market events, and develops internal tools and automation.

The Research Engineer will develop scalable infrastructure for machine learning research, optimize workflows, and enhance model inference for trading systems.

The Applied ML Scientist will collaborate with researchers to develop and improve statistical methods that enhance trading strategies through applied machine learning.

Lead and transform fund accounting operations, mentor the team, enhance data integrity, and manage process improvements within the fund accounting domain.

Performance Engineers are responsible for understanding and optimizing systems for trading strategies, focusing on efficiency, cost reduction, and scaling models. They analyze system performance across software and hardware layers, implement improvements, and conduct evaluations to enhance throughput and resource utilization.

10-week summer software engineering internship where students work with senior developers on projects involving large-scale data, real-time events, batch processing, infrastructure tooling, and trading technologies. Tasks include designing, developing, debugging, testing software, improving correctness, maintainability, and efficiency, and learning about financial markets and quantitative trading. Personalized mentorship and team collaboration are provided.

Ten-week summer internship in platform/infrastructure engineering. Work with senior engineers on projects involving cloud provisioning, Kubernetes, GitOps, networking and OS performance, multicast market data, and automation to take systems from research to production.