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