| Location | Boston, MA, MA |
The Wealth Trade Management Engineering group is responsible for building world-class electronic trading solutions for the Capital Markets division. We are a high-performing, fast-paced technology team working with cutting-edge tools to deliver low-latency, high-throughput trading platforms. Our work spans across internal and external teams to build seamless, end-to-end electronic trading workflows.
We are seeking an experienced systems analyst to help with the design and development of next-generation trading analytics systems. This role is focused on helping build scalable, resilient, and high-performance trading infrastructure. You'll collaborate across teams, work closely with developers and product owners, a variety of business and technology groups, and drive innovation in a mission-critical environment.
Become a subject matter expert for the applications that provide electronic trading analytics capabilities.
Learn the electronic trading domain.
Represent the development team in discussions with business stakeholders.
Understand low-level details of the applications, understand source code, and be able to communicate how the application works to a non-technical audience.
Learn new technologies and use GenAI tools to help understand and document source code.
Be able to build architectural and system workflow diagrams.
Gather data by writing queries (KDB/Q) and be able to drill into business scenarios by understanding data from a very large dataset along with the system architecture.
Lead system design and translate business requirements into technical details while working with developers and product owners.
Break down and manage work items (Jira epics and stories) for developers and QA.
Facilitate discussions with different stakeholders on team initiatives.
Support production and non-production environments and be able to answer inquiries from business support teams.
Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
9+ years of Systems Analyst and Project Management experience.
Prior hands-on software development experience.
Experience in complex distributed systems, especially trading systems.
Experience with SDLC tools like Jira, Confluence, etc.
Experience with collaboration tools.
Experience crafting architecture and system workflow diagrams using tools like Visio, Draw.io, etc.
Data modeling and design background.
Experience with SQL and working with large datasets for data analytics.
Experience with applications in Linux/Unix environments and familiarity with user commands or scripting.
Experience with cloud patterns and deployments, especially in AWS.
Familiarity with AI developer-assist tools (e.g., GitHub Copilot).
Familiarity with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
Experience in Capital Markets or brokerage systems, especially trading analytics, is a big plus.
KDB+/Q experience is a plus.
Ability to understand complex, end-to-end systems and identify performance, scalability, or resilience bottlenecks.
Strong analytical, communication, and organizational skills.
Ability to manage multiple tasks and thrive in a collaborative team environment.
Self-driven innovation and comfort working with leadership.
Willingness to support production systems and application releases, including occasional weekend support.