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Quantitative Developer (Python) - Central Liquidity Strategies

Millennium
New York City, USA
Full-time
Senior · 5+ years experience
Onsite
USD 160000-250000 yearly / year
Discovered 1 weeks ago
PythonPlotlyAltairJAXTensorFlowPyTorch
Free

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Principal Responsibilities

  • The successful candidate will be expected to:
  • 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)
  • 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. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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