Python Software Engineer - Intraday Trading
Millennium Management
Overview
In this role you will develop and optimize real-time analytics and market data solutions for Millennium’s intraday trading and portfolio management platforms. You’ll collaborate with R&D and front-office teams to deliver scalable, high-performance systems that support in-the-moment decision making. You will shape intraday analytics capabilities, backtesting tools, and risk analytics for live portfolios, contributing to a mission of disciplined risk management and continuous learning. This is a hands-on, cross-functional role with a clear impact on trading workflows and technology leadership.
Responsibilities- Partner with R&D and application teams to design and implement real-time analytics and market data solutions
- Contribute to a market-leading portfolio management platform in close collaboration with business users
- Develop and support intraday analytics platforms used across risk and portfolio management systems
- Deliver scalable, high-performance solutions for real-time trading and analytics workflows
- Contribute to architecture and delivery of highly scalable real-time systems
- 5+ years of Python application development
- Solid Linux experience
- Experience with grid scheduling/compute orchestration (e.g., SLURM)
- Strong knowledge of event-driven architecture and messaging/cache tech (Kafka, Solace, Pulsar, Memcache, Redis)
- Experience building AI RAG and MCP agents
- Experience with monitoring/observability tools (Datadog, ELK)
- Strong database knowledge (SQL, NoSQL, time-series like Kdb)
- Solid data structures/algorithms, ability to learn quickly
- Interest in financial markets; experience with large-scale real-time portfolio analytics tools; cloud platforms; containerization (Docker, Kubernetes); knowledge of multi-threaded C++ is a plus
- strong collaboration
- quick learner
- effective communication with business users
- Python
- Linux
- SLURM
Reference: WJ-747_30175703