Quantitative Developer (Python)

Principal Responsibilities

• Help design and contribute to the alpha research platform
• Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
• Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
• Mentor junior resources
• Regularly interact with quantitative researchers and other stakeholders, and prioritize and implement features

Qualifications / Skills Required

• 5+ years of Python experience in a quantitative finance setting
• Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
• Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
• Prior experience building alpha research or machine learning pipelines
• Highly analytical with strong problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
• Ability to tune and debug runtime performance of data applications
• Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)

Pay

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.