Millennium
Quantitative Developer (Python) - Central Liquidity Strategies
$160K–$250K
New York, New York · On-site · Full-time · Posted Feb 3, 2026
- Experience
- 5+ years of Python experience in a quantitative finance setting.
About the job
Develop and guide an alpha research pipeline for execution strategies, from data ingestion through model evaluation and reporting.
What you'll do
- Design, build, maintain, and test the alpha research platform and pipeline, including documentation and CI automation.
- Help set the pipeline’s direction, architecture, and design; mentor junior team members.
- Work with quantitative researchers and stakeholders to prioritize and implement features.
What they ask for
- 5+ years of Python experience in a quantitative finance setting.
- Familiarity with linear models, basic statistics, and the Python data science ecosystem, including dashboarding and ML libraries.
- Prior experience building alpha research or machine learning pipelines.
- Ability to tune and debug data-application performance; strong analytical, problem-solving, and communication skills.
Nice to have
- Familiarity with C++, Rust, or CUDA for debugging and profiling native code in ML libraries.
Pay
$160,000 to $250,000 (base salary)
Tools
Python, Plotly, Altair, JAX, TensorFlow, PyTorch, C++, Rust
AI focus
Build alpha research and machine-learning pipelines, including model evaluation and reporting workflows.
Model-written summary · the original posting is authoritative