- Work with portfolio management, risk, and engineering teams on application development, deployment, and architecture
- Work closely with quants, risk managers and other engineers across the globe to develop compute intensive applications used for quantitative modeling to processing thousands of datasets
- Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency
- Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and bulk data loads/extracts
- Maintain, support, and improve capabilities as new requirements arise
- Partner with project managers and senior leadership team to capture analytic requirements, monitor delivery, and manage expectations
- Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm.
- 3-5 years of professional development experience using Java or C++
- At least 1 year of professional experience working with Rust
- Strong SQL and database experience, particularly with DuckDB, Postgres, and RDBMS
- Experience with containerization, ideally Kubernetes and ArgoCD
- Experience with scaled architectures, performance analysis and optimization of backend systems
- BA or Master in computer science or any other scientific fields
- Able to work independently in a fast-paced environment
- Strong analytical and communication skills
- Strong problem solving capabilities
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
- Experience with the following Apache repos: Kafka, Arrow, Parquet, and/or Avro
- Experience with cloud technologies, ideally AWS and/or GCP
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