Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX
Drive quality through thorough testing, troubleshooting, and performance optimization
Build high-performance, real-time UIs with strong responsiveness and stability
Establish and evolve scalable UI architecture, including component libraries and shared platform services
Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness
Ensure secure, compliant development practices aligned to firm standards
Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced applied experience in building production UIs with React and TypeScript in large-scale applications
Strong knowledge of modern front-end engineering, including state management, asynchronous data flows, and UI architecture
Expertise in performance optimization, testing strategies, and automation in CI/CD pipelines
Experience delivering real-time or data-intensive user experiences
Demonstrated technical leadership in setting standards, leading designs, and mentoring teams
Solid software engineering fundamentals, including OO/design patterns, debugging, and documentation
Familiarity with agentic development approaches across the software development lifecycle
Strong communication skills and ability to work effectively in global, cross-functional environments
Ability to tackle design and functionality problems independently
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
Experience in front-office trading or electronic execution domains
Familiarity with financial market concepts and protocols
Experience with UI component libraries, advanced data grid patterns, and visualization
Exposure to backend-for-frontend patterns, event-driven architectures, and API design collaboration
Experience operating UIs in regulated environments with strong auditability and controls
