Quant Developer - Commodities

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Commodity Front Office Technology team to build our next generation in-house research platform and associated ecosystem of tools, applications and systems. Commodity Technology provides a dynamic and fast-paced environment with excellent growth opportunities and projects involving cutting edge technologies.

Responsibilities

• Develop research and trading applications using Python (e.g., Pandas, Polars, FastAPI), UI frameworks (e.g., React, Panel, or Plotly Dash), and industry standard technology (e.g., AWS, Airflow, Snowflake, Docker, Kubernetes)
• Work closely with traders, quants, and other technologists globally to understand their needs and build technical solutions
• Create tools that analyze and visualize vast quantities of data, build statistical models, and contribute to other critical software that supplements our research platform
• Develop software solutions in an agile fashion using modern software development practices (e.g., unit testing, regression testing, version control practices, CI/CD)

Mandatory Requirements

• 5+ years of professional experience with Python
• Proficient in python data analysis libraries (e.g., Pandas, SciPy, NumPy, Polars, etc.)
• Experience developing web applications in Plotly Dash or Holoviz Panel
• Working knowledge of SQL and database technologies (e.g., MSSQL, Postgres, Snowflake, etc.)
• Experience with unit testing, integration testing and regression frameworks

Preferred Requirements

• Experience working in other financial institutions preferably in the commodities space
• Familiarity with quantitative finance and futures/options trading concepts
• Familiarity with commodities market and fundamental data
• Experience with workflow management platforms (e.g., Airflow)
• Experience using AWS cloud technology (e.g., S3, EC2, MWAA, CodeBuild, etc.)
• Experience with DevOps practices using deployment, containerization, orchestration technologies (e.g., Docker, Kubernetes, TeamCity, Jenkins, etc.)
• Experience with React or Angular