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Software Engineer - Commodities, LondonClient:Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
305753923021
Job Views:
72
Posted:
18.02.2025
Expiry Date:
04.04.2025
Job Description:
Software Engineer - 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 Technology team to build our next generation in-house commodity technology 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
1. 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.)
2. Work closely with traders, quants, and other technologists globally to understand system development requirements
3. Develop software solutions in an agile fashion using modern software development practices e.g. comprehensive testing, version control practices, CI/CD, etc.
4. Test and deploy software solutions in an automated fashion using CI/CD practices
5. Ensure DevOps style management and operation of DEV/UAT/PROD deployment environments
Mandatory Requirements
1. 2+ years of professional experience with Python application development
2. Knowledge on data intensive application development experience using pandas and numpy
3. Experience developing web frontends using React and/or Angular
4. Working knowledge of SQL and databases
5. Experience with unit testing
Preferred Requirements
1. Experience working in other financial institutions preferably in the commodities space
2. Familiarity with quantitative finance and electronic trading concepts.
3. Experience with developing dashboards and other data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc.
4. Experience using AWS technologies such as S3, Athena, SQS, Batch, Lambda
5. Experience with DevOps practices using containerization and orchestration technologies (e.g. Docker / Kubernetes)
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