Millennium
Quantitative Developer, Quantitative Strategies
$150K–$200K
New York, New York · On-site · Full-time · Posted May 27, 2026
- Experience
- 3+ years as a quantitative developer, research engineer, or software/data engineer; ideally in a systematic trading or financial context.
About the job
Build and maintain research infrastructure, data systems, and production workflows for a quantitative trading team, including deploying and monitoring trading signals.
What you'll do
- Improve the research platform, including backtesting, simulation, caching, and compute layers.
- Build research tooling and maintain datasets and pipelines used in research and production.
- Support signal deployment and monitoring, system integrations, and Agentic AI workflows.
What they ask for
- Strong Python engineering skills for clean, scalable, production-quality code.
- Experience optimizing Python performance and working with parallel or distributed workloads.
- Experience with SQL and strong Linux experience.
- Understanding of system design, design patterns, and data architecture.
Nice to have
- Familiarity with Kubernetes, Ray, Dask, Polars, Slurm, or similar frameworks; Snowflake familiarity is a plus.
- Experience building research platforms or quantitative data infrastructure, ideally in systematic trading or finance.
Pay
$150,000 to $200,000 USD base salary
Tools
Python, Kubernetes, Ray, Dask, Polars, Slurm, SQL, Snowflake
AI focus
Integrate Agentic AI workflows to improve productivity, model development, or operational robustness.
Model-written summary · the original posting is authoritative