Equities Cash Order Management Senior Java Developer - Vice President

• Engage closely with Equities Sales and Trading desks to understand key functional and non-functional requirements, handle prioritization, and address day-to-day questions
• Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in your area and advanced knowledge of applications programming, ensuring application design adheres to the overall architecture blueprint
• Collaborate with other members of the team to extend functionality and enhance the performance of existing processes
• Rapid adoption of AI toolkits in line with the firm’s strategy of modernization of the development process
• Compute and estate management including hygiene, security, and vulnerability items
• Be instrumental in the design and implementation of automated integration testing
• Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary
• Provide second-line support, including out-of-hours, for the processes and components you develop

• 10+ years of relevant experience in core java application development or systems analysis role
• Primary development expertise in core Java development, including knowledge of collections, IO, multi-threading, and generics
• Highly motivated self-starter who is comfortable taking on new challenges and picking up and learning new technologies
• Ability to adjust priorities quickly as circumstances dictate
• Prior experience developing front-office Trading applications/systems is a must
• Experience or familiarity working on an Equities trading platform
• Familiarity with modern infrastructure, cloud technologies, containerization technologies (e.g., Docker, OpenShift, Kubernetes) and microservices architecture
• Experience with standard developer tooling, such as Lightspeed, BitBucket/GitHub, Jira, Confluence, build tools such as Gradle and Maven etc. Comfortable working in Linux environment
• Exposure to and interest in AI tools and technologies
• Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred