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Quantitative Software Developer

2 months ago

New York, New York, United States Point72 Full time

About the Role

Point72 is seeking a highly skilled Quantitative Developer to join our team focused on systematic corporate bond and credit derivatives strategies. As a key member of our team, you will design and develop software systems for research and production processes, ensuring efficiency and robustness.

Key Responsibilities

  • Design and develop software systems for alpha generation, portfolio construction, and trading, leveraging your expertise in Python/C++ and object-oriented design.
  • Manage the CI/CD pipeline, troubleshoot, and resolve systems-related issues to ensure seamless operations.
  • Collaborate with portfolio managers and traders to build efficient tools for data organization, visualization, fitting, backtesting, and PnL attribution.
  • Automate order generation, integrate compliance and limit checks, and ensure system robustness with automated reconciliation, alerts, and fuses.
  • Develop desktop UI tools to monitor live PnL, order execution, portfolio positions, and other key performance indicators.

Requirements

  • Undergraduate or graduate degree in Computer Science or a related field.
  • 3+ years of experience designing and developing research and live trading infrastructure at a financial institution.
  • Proficiency in Linux OS, strong coding skills in Python/C++, and experience with object-oriented design and proper unit testing.
  • Experience with SQL and UI development frameworks is preferred.
  • Experience handling connections to execution/order management systems is a plus.
  • Experience in credit markets and fixed income pricing systems is highly desirable.
  • Strong communication skills and a willingness to take ownership of your work.

Compensation and Benefits

The annual base salary range for this role is $150,000-$200,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary based on geographic location, work experience, education, and/or skill level.