Description
We are seeking a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting.
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 prioritise and implement features
The ideal candidate will have:
- 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.
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