Software Engineer - Fixed Income Technology
Millennium Management
We are looking for a strong hands-on senior technologist to join our Global Fixed Income Technology team, based in London.
Responsibilities
- Work with portfolio managers, business management and risk teams on Intraday Risk, Trade & Portfolio management solutions.
- Architect and develop data ingestion and distribution frameworks suitable for enterprise-scale applications.
- Partner with project managers and senior leadership team to capture analytic requirements, monitor delivery, and manage expectations
- Maintain, support, and improve capabilities as new requirements arise
- Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm.
Requirements
- Strong development experience with microservices-based technology stack in a production environment, strong knowledge of OO languages, distributed systems and design.
- Strong backend development skills in an enterprise grade OO language – either C++, Java or C#
- Experience with AWS, GCP, or other public cloud platforms.
- BA or Masters in Computer Science or any other scientific fields.
- Able to work independently in a fast-paced environment, and with a globally distributed team across multiple timezones.
- Some exposure to Typescript, and front end development in either Angular or React beneficial but not essential
- Strong analytical and communication skills.
- Strong problem solving capabilities.
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
Preferred Requirements
- Experience and working knowledge of Kubernetes and containerization technologies such as Docker or Podman.
- Experience developing real-time event driven and event sourced systems, and proven record of accomplishment of delivering successfully large-scale integration projects.
- Experience with Kafka, IMDG, Data warehousing frameworks
- Experience with financial markets (rates/credit/commodities/equities)
- Experience with financial mathematics, modeling, and/or statistics