Description
We are seeking an experienced Systematic Production Support Engineer to help us scale our systematic operations and support engineering capabilities. This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.
As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.
Key responsibilities include:
- Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
- Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
- Implementing automated systems and processes focused on trading and operations
- Streamlining development and deployment processes
Technical qualifications include:
- 5+ years of development experience in Python
- Experience working in a Linux/Unix environment
- Experience working with PostgreSQL or other relational databases
Preferred skills and experience include:
- Understanding of NLP, supervised/non-supervised learning, and Generative AI models
- Experience operating and monitoring low-latency trading environments
- Familiarity with quantitative finance and electronic trading concepts
- Familiarity with financial data
- Broad understanding of equities, futures, FX, or other financial instruments
- Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
- Experience with Apache/Confluent Kafka
- Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
- Experience with containerization and orchestration technologies
- Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
- Contributions to open-source projects
This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.