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. Our Commodities Technology team is responsible for the development and support of the data, research and trading platform and tools for our Commodities portfolio managers. 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. Mandatory Requirements 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. Preferred Requirements Understanding of the financial markets, particularly in Commodities, including experience with market data. 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)