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The Post Trade Software Engineer will design and implement software solutions for fund accounting and operations teams, focusing on post-trade data management and software challenges.

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 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.

Platform Engineers design, implement, and support scalable systems, focusing on automation and user-driven solutions for critical performance in a trading environment.

The Cloud Engineer will manage and improve the cloud platform, design next-gen solutions, collaborate with teams, and use automation tools.

The Recruiter will lead hiring strategies, evaluate talent, improve branding efforts, and manage relationships with stakeholders and agencies.

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.