
at Millennium
Hedge FundsPosted 15 days ago
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**Quantitative Developer** - Milliennium Hedge Fund: Translate complex business problems into Python-driven (Django, Flask, FastAPI) solutions, leveraging agile dev practices, AWS (S3, SQS), and React/Angular front-ends. Requires 3+ years of Python app dev, database skills, and collaborative mindset. Prefer market data & visualization (Plotly, Dash) experience.
- Compensation
- $175,000 – $250,000 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Full Job Description
We are looking for a Rapid Application Developer to assist in this work. The ideal candidate will have a blend of experimental and engineering skills focusing on end-to-end solutions in a consultant-like capacity. The candidate will be able to move quickly to explore and deploy new solutions in a fast-paced environment.
Responsibilities
- Understand and translate business problems into working solutions.
- Engage directly with portfolio managers to address their development needs.
- Develop research and trading applications using Python (Django, Flask, Tornado, or FastAPI), front-end development (React/Angular), and AWS technologies (S3, SQS, AWS Batch, etc.)
- Develop software solutions in an agile fashion using modern software development practices e.g. comprehensive testing, version control practices, CI/CD (Jenkins), scheduling/orchestration (Airflow, VisualCron) etc.
- Ensure DevOps style management and operation of DEV/UAT/PROD deployment environments.
- 3+ years of professional experience with python application development
- Knowledge on data intensive application development experience using Pandas, NumPy, etc.
- Experience developing web frontends using React and/or Angular
- Working knowledge of SQL and other database technologies
- Strong communication skills with the ability to work independently and collaboratively.
- Experience with end-to-end solutions, from problem statement to deployment.
- Understanding of the financial markets, particularly in Commodities, including experience with market data.
- Experience using agentic coding workflows using Cursor, Claude code, etc.
- Experience with developing dashboards and other data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc.
- Experience using AWS technologies such as S3, Athena, SQS, Batch, Lambda
- Experience with DevOps practices using containerization and orchestration technologies (e.g. Docker / Kubernetes)





