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

Develop and maintain proprietary trading software using C++ and Python, managing global trading systems and enhancing trading platform functionality.

The Tax Accountant will handle tax compliance and planning for partners and entities, prepare financial statements, and stay updated on tax rules.

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.

Support senior leaders with administrative tasks, manage calendars, project management, and improve operational efficiency while aiding in special projects and events.

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.

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.